AI/ML, Software as a Medical Device, Real-World Evidence
Real-World Evidence
Submission
Device
Sponsor
RWD Sources
RWE Use Summary
Key Tags
K193087 · Mar 31, 2020
Rapid ICH
Ischemaview Incorporated
Retrospective clinical head CT images from multiple hospital sites
A retrospective, multicenter, multinational study was conducted to evaluate the software's sensitivity and specificity in identifying intracranial hemorrhage (ICH) in non-contrast head CT images compared to clinical ground truth.
Retrospective study; Intracranial Hemorrhage; Head CT; Performance validation
Clinical Evidence
Study Design
Population
Comparator
Key Endpoints
Retrospective, blinded, multicenter, multinational study; Retrospective, blinded, multicenter, multinational study
336 cases of non-contrast head CT images; Sample Size: 336; Number of Sites: 6 (US: 4 sites + 1 multisite; OUS: 1 site + 1 multisite)
Not applicable for this study
Sensitivity (0.899) and Specificity (0.943) for ICH detection; Time to notification (2.28 min)
Retrospective, blinded, multicenter, multinational study: 336 cases from US and OUS sites.
—
Indications for Use
RAPID ICH is a radiological computer aided triage and notification software indicated for use in the analysis of non-enhanced head CT images. The device is intended to assist hospital networks and trained radiologists in workflow triage by flagging and communication of suspected positive findings of pathologies in head CT images, namely Intracranial Hemorrhage (ICH). RAPID ICH uses an artificial intelligence algorithm to analyze images and highlight cases with detected ICH on a server or standalone desktop application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected ICH findings. Notifications include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device. The results of RAPID ICH are intended to be used in conjunction with other patient information and based on professional judgment, to assist with triage /prioritization of medical images. Notified clinicians are responsible for viewing full images per the standard of care.
Device Story
RAPID ICH is a software module within the RAPID Platform; it analyzes non-enhanced head CT (NCCT) images to triage suspected intracranial hemorrhage (ICH). The device receives DICOM-compliant images via hospital network or CD-R. An AI algorithm processes the images in parallel to standard-of-care interpretation. If ICH is suspected, the system sends notifications (including compressed preview images) to clinicians via PACS, workstation, email, and mobile application. The device does not alter original images or remove cases from the reading queue; it serves as an informational tool for prioritization. Clinicians must review full, non-compressed images on a diagnostic viewer to make clinical decisions. The device benefits patients by potentially reducing time-to-notification for urgent ICH cases, facilitating faster clinical intervention.
Clinical Evidence
Retrospective, blinded, multicenter, multinational study (336 cases). Primary endpoint: performance in identifying ICH in non-contrast head CT images. Results: Sensitivity 0.899 (95% CI: 0.847-0.935); Specificity 0.943 (95% CI: 0.895-0.970). Secondary endpoint: mean time to notification was 2.28 minutes (95% CI: 2.24-2.33).
Technological Characteristics
Software-only device; operates on dedicated or virtual RAPID Servers within hospital LAN/DMZ. Uses deep learning AI algorithm. Connectivity via DICOM protocol, VPN (RFC2401/RFC4301), and SSH. Compliant with NEMA PS 3.1-3.20 (DICOM), IEC 62304:2015 (software lifecycle), and EN ISO 14971:2012 (risk management).
Indications for Use
Indicated for use in the analysis of non-enhanced head CT images to assist hospital networks and trained radiologists in workflow triage by flagging and communicating suspected positive findings of Intracranial Hemorrhage (ICH).
Regulatory Classification
Identification
Radiological computer aided triage and notification software is an image processing prescription device intended to aid in prioritization and triage of radiological medical images. The device notifies a designated list of clinicians of the availability of time sensitive radiological medical images for review based on computer aided image analysis of those images performed by the device. The device does not mark, highlight, or direct users' attention to a specific location in the original image. The device does not remove cases from a reading queue. The device operates in parallel with the standard of care, which remains the default option for all cases.
Special Controls
Radiological computer aided triage and notification software must comply with the following special controls: 1. Design verification and validation must include: i. A detailed description of the notification and triage algorithms and all underlying image analysis algorithms including, but not limited to, a detailed description of the algorithm inputs and outputs, each major component or block, how the algorithm affects or relates to clinical practice or patient care, and any algorithm limitations. ii. A detailed description of pre-specified performance testing protocols and dataset(s) used to assess whether the device will provide effective triage (e.g., improved time to review of prioritized images for pre-specified clinicians). iii. Results from performance testing that demonstrate that the device will provide effective triage. The performance assessment must be based on an appropriate measure to estimate the clinical effectiveness. The test dataset must contain sufficient numbers of cases from important cohorts (e.g., subsets defined by clinically relevant confounders, effect modifiers, associated diseases, and subsets defined by image acquisition characteristics) such that the performance estimates and confidence intervals for these individual subsets can be characterized with the device for the intended use population and imaging equipment. iv. Standalone performance testing protocols and results of the device. v. Appropriate software documentation (e.g., device hazard analysis; software requirements specification document; software design specification document; traceability analysis; description of verification and validation activities including system level test protocol, pass/fail criteria, and results). 2. Labeling must include the following: i. A detailed description of the patient population for which the device is indicated for use. ii. A detailed description of the intended user and user training that addresses appropriate use protocols for the device. iii. Discussion of warnings, precautions, and limitations must include situations in which the device may fail or may not operate at its expected performance level (e.g., poor image quality for certain subpopulations), as applicable. iv. A detailed description of compatible imaging hardware, imaging protocols, and requirements for input images. v. Device operating instructions. vi. A detailed summary of the performance testing, including: test methods, dataset characteristics, triage effectiveness (e.g., improved time to review of prioritized images for pre-specified clinicians), diagnostic accuracy of algorithms informing triage decision, and results with associated statistical uncertainty (e.g., confidence intervals), including a summary of subanalyses on case distributions stratified by relevant confounders, such as lesion and organ characteristics, disease stages, and imaging equipment.
*Classification.* Class II (special controls). The special controls for this device are:(1) Design verification and validation must include:
(i) A detailed description of the notification and triage algorithms and all underlying image analysis algorithms including, but not limited to, a detailed description of the algorithm inputs and outputs, each major component or block, how the algorithm affects or relates to clinical practice or patient care, and any algorithm limitations.
(ii) A detailed description of pre-specified performance testing protocols and dataset(s) used to assess whether the device will provide effective triage (
*e.g.,* improved time to review of prioritized images for pre-specified clinicians).(iii) Results from performance testing that demonstrate that the device will provide effective triage. The performance assessment must be based on an appropriate measure to estimate the clinical effectiveness. The test dataset must contain sufficient numbers of cases from important cohorts (
*e.g.,* subsets defined by clinically relevant confounders, effect modifiers, associated diseases, and subsets defined by image acquisition characteristics) such that the performance estimates and confidence intervals for these individual subsets can be characterized with the device for the intended use population and imaging equipment.(iv) Stand-alone performance testing protocols and results of the device.
(v) Appropriate software documentation (
*e.g.,* device hazard analysis; software requirements specification document; software design specification document; traceability analysis; description of verification and validation activities including system level test protocol, pass/fail criteria, and results).(2) Labeling must include the following:
(i) A detailed description of the patient population for which the device is indicated for use;
(ii) A detailed description of the intended user and user training that addresses appropriate use protocols for the device;
(iii) Discussion of warnings, precautions, and limitations must include situations in which the device may fail or may not operate at its expected performance level (
*e.g.,* poor image quality for certain subpopulations), as applicable;(iv) A detailed description of compatible imaging hardware, imaging protocols, and requirements for input images;
(v) Device operating instructions; and
(vi) A detailed summary of the performance testing, including: test methods, dataset characteristics, triage effectiveness (
*e.g.,* improved time to review of prioritized images for pre-specified clinicians), diagnostic accuracy of algorithms informing triage decision, and results with associated statistical uncertainty (*e.g.,* confidence intervals), including a summary of subanalyses on case distributions stratified by relevant confounders, such as lesion and organ characteristics, disease stages, and imaging equipment.
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Image /page/0/Picture/0 description: The image contains the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
March 31, 2020
iSchemaView, Inc. % Mr. James Rosa VP Quality and Regulatory 433 Park Point Drive, Suite 220 GOLDEN CO 80401
Re: K193087
Trade/Device Name: RAPID ICH Regulation Number: 21 CFR 892.2080 Regulation Name: Radiological computer-assisted triage and notification software Regulatory Class: Class II Product Code: QAS Dated: February 25, 2020 Received: March 2, 2020
Dear Mr. Rosa:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmp/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
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https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
For
Thalia T. Mills, Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known)
#### K193087
Device Name RAPID ICH
#### Indications for Use (Describe)
RAPID ICH is a radiological computer aided triage and notification software indicated for use in the analysis of nonenhanced head CT images.
The device is intended to assist hospital networks and trained radiologists in workflow triage by flagging and communication of suspected positive findings of pathologies in head CT images, namely Intracranial Hemorrhage (ICH). RAPID ICH uses an artificial intelligence algorithm to analyze images and highlight cases with detected ICH on a server or standalone desktop application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected ICH findings. Notifications include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device.
The results of RAPID ICH are intended to be used in conjunction with other patient information and based on professional judgment, to assist with triage /prioritization of medical images. Notified clinicians are responsible for viewing full images per the standard of care.
Type of Use (*Select one or both, as applicable*)X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
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Section 5: 510(k) Summary (Ver. C)
K193087
### 510(k) Summary
### iSchemaView, Inc.'s RAPID ICH
This document contains the 510(k) summary for the iSchemaView RAPID ICH. The content of this summary is based on the requirements of 21 CFR Section 807.92(c).
### Applicant Name and Address:
| Name: | iSchemaView, Inc. |
|-------------------|------------------------------------------------------------------|
| Address: | 433 Park Point Drive<br>Ste. 220<br>Golden, CO 80401 |
| Official Contact: | Jim Rosa<br>Phone: (303) 704-3374<br>Email: rosa@ischemaview.com |
### Summary Preparation Date: February 25, 2020
### Device Name and Classification:
| Trade Name: | RAPID ICH |
|--------------------------|--------------------------------------------------------------|
| Common Name: | Radiological computer aided triage and notification software |
| Classification: | II |
| Product Code: | QAS |
| Regulation No: | 21 C.F.R. §892.2080 |
| Classification<br>Panel: | Radiology Devices |
#### Predicate Devices:
The iSchemaView RAPID ICH is claimed to be substantially equivalent to the following legally marketed predicate device: Aidoc's BriefCase (K180647).
#### Device Description:
RAPID ICH is a clinical module which operates within the integrated RAPID Platform to provide triage and notification of suspected intra-cranial hemorrhage (ICH). The RAPID ICH module consists of the core RAPID Platform software which provides the administration and services for the RAPID; and the RAPID ICH module which functions as one of many image processing modules hosted by the platform.
#### RAPID Platform
The RAPID platform is a software package that provides for the visualization and study of changes in tissue using digital images captured by diagnostic imaging systems including CT (Computed Tomography), CTA, XA3D and MRI (Magnetic Image Resonance), as an aid to physician diagnosis. RAPID can be installed on a customer's Server or it can be accessed
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Section 5: 510(k) Summary (Ver. C)
online as virtual system. It provides viewing, quantification, analysis and reporting capabilities. The RAPID platform has multiple modules a clinician may elect to run and provide analysis for decision making.
RAPID works with the following types of (DICOM compliant) medical image data:
- CT (Computed Tomography) .
- . CTA (Computed Tomography Angiography)
- MRI(Magnetic Image Resonance) Note: not used in ASPECTS. ●
- . XA3D Multiphase
RAPID acquires (DICOM compliant) medical image data from the following sources:
- . DICOM file
- DICOM CD-R ●
- Network using DICOM protocol .
RAPID provides tools for performing the following types of analysis:
- selection of acute stroke patients for endovascular thrombectomy
- volumetry of thresholded maps
- time intensity plots for dynamic time courses ●
- measurement of mismatch between labeled volumes on co-registered image volumes ●
- Imaging features on non-contrast computed tomography
- . Imaging features based on density analysis for CT Angiography
RAPID is a software-only device consisting of one or more RAPID Servers (dedicated or virtual and an iSchemaView Server). The RAPID Server is an image processing engine that connects to a hospital LAN, inside the Hospital Firewall. It can be a dedicated RAPID Server or a VM RAPID appliance, which is a virtualized RAPID Server that runs on a dedicated hospital server. Where available, the RAPID Server is placed logically in the demilitarized zone (DMZ) of the hospital's network to facilitate bidirectional secure connection between the (local) RAPID Server and the centralized iSchemaView Server.
The iSchemaView Server is a dedicated server that provides a central repository for RAPID data. All iSchemaView Server data is stored on encrypted hard disks. It also provides a user interface for accessing RAPID data. It connects to a firewalled Data Center Network and has its own firewall for additional cyberdata security. The iSchemaView Server connects to one or more RAPID Servers via WAN. Available types of connection include VPN (Virtual Private Network - RFC2401 and RFC4301 Standards) Tunnel and SSH (Secure Shell).
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# RAPID System Overview
Image /page/5/Figure/2 description: The image shows a diagram of a medical imaging workflow. It starts with an MRI or CT scan, then the data is pushed to RAPID software. The data is then sent to PACS via DICOM for additional DICOM nodes. Finally, the image undergoes analysis, including motion and time correction, AIF & VOF selection, deconvolution & map generation, image thresholding, and computation of thresholded volume.
# RAPID ICH Module
RAPID ICH provides an automatic analysis of received NCCT scan data for the triage and notification of ischemic hemorrhage (ICH). The application is selected via DICOM encoding which is processed by the DICOM handler within the RAPID Platform. Once the DICOM server identifies the selected ICH processing modality, the Job Manager initiates image processing using the ICH Module.
Upon processing a case with suspicion of ICH, the clinical team is notified via messaging, the case has a suspicion of ICH. The notifications are sent to the PACS/Workstation, via email and to a mobile application. The notification provides the attending clinical team physician that suspicion of hemorrhage has been identified and immediate attention to the case should be given. The messaging provides notification and compressed image data of the case. The compressed preview is informational only and labeling identifies it as not to be used for diagnostic use and to review the data within the PACS/Workstation prior to making any diagnostic decisions. No additional information markings are added to the case.
The notifications are pop-up messages or email with the appropriate case information and suspicion or non-suspicion of ICH labelled. In all cases, the normal standard of care workflow is adhered to, this ensures the case is still reviewed when non-suspicion is determined.
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Section 5: 510(k) Summary (Ver. C)
## Indications for Use:
RAPID ICH is a radiological computer aided triage and notification software indicated for use in the analysis of non-enhanced head CT images.
The device is intended to assist hospital networks and trained radiologists in workflow triage by flagging and communication of suspected positive Intracranial Hemorrhage (ICH) findings in head CT images, namely Intracranial Hemorrhage (ICH).
RAPID ICH uses an artificial intelligence algorithm to analyze images and highlight cases with suspected ICH on a server or standalone desktop application in parallel to the ongoing standard of care image interpretation. The user is presented with notifications for cases with suspected ICH findings. Notifications include compressed preview images, that are meant for informational purposes only and not intended for diagnostic use beyond notification. The device does not alter the original medical image and is not intended to be used as a diagnostic device.
The results of RAPID ICH are intended to be used in conjunction with other patient information and based on professional judgment, to assist with triage /prioritization of medical images. Notified clinicians are responsible for viewing full images per the standard of care.
Contraindications/Exclusions/Cautions:
- . RAPID ICH is one input to physician diagnosis for patients undergoing screening for acute hemorrhage or acute stroke.
- . Excessive patient motion may lead to artifacts that make the scan technically inadequate.
- . Presence of subacute stroke with mild hemorrhagic transformation may not be detected as suspected ICH.
- . For use with non-contrast scans. Presence of intravenous contrast may lead to false positive indication of suspected ICH.
- . Identification of suspected findings is not for diagnostic use beyond notification. Images that are previewed through email and the mobile application are compressed and are for informational purposes only and not intended for diagnostic use beyond notification.
- . Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests.
- . RAPID ICH is limited to analysis of imaging data and should not be used in-lieu of full pattent evaluation or relied upon to make or confirm diagnosis. Notified clinicians are responsible for viewing non-compressed images on a diagnostic viewer and engaging in appropriate patient evaluation and relevant discussion with a treating physician before making care-related decisions or requests.
# Comparison of Technological Characteristics:
The subject and predicate devices are radiological computer-assisted triage and notification software programs. Both devices are artificial intelligence algorithms incorporated software packages for use with CT scanners, PACS, and workstations. Both devices process images intended to aid in prioritization and triage of radiological medical images. The subject and predicate device process NCCT images for ICH indication. Both devices are intended to provide
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Section 5: 510(k) Summary (Ver. C)
notifications and preview head images of potential findings to radiologists and other clinicians for the purpose of treatment planning and follow up.
Both software devices notify a designated list of clinicians (the predicate device - a radiologist, the subject device - a clinician) of the availability of time sensitive radiological medical images for review based on computer aided image analysis performed by the device's AI algorithm. The subject and predicate device sends notifications and compressed previews to the workstations' desktop of the radiologist. Additionally, the subject device sends an email (normal processing within RAPID Platform and previously cleared and mobile notification (similar to the predicate's predicate device. Those notifications work in parallel to the standard of care. They promot the clinician to start preemptive triage of a flagged case, upon which they may decide after observing the preview, to turn to the local PACS/Workstation to perform the evaluation. If a notification is found to be non-suspicious of ICH, the case still remains in the queue to be handled per the standard of care.
The predicate and subject devices process CT images using similar techniques and a similar artificial intelligence algorithm. Specifically, the subject and predicate software utilize a deep learning algorithm trained on medical images. The deep-learning process allows for high accuracy in the detection of initial suspect locations. As a system, the RAPID ICH raises the same types of safety and effectiveness questions as the predicate; namely, accurate detection of findings within the reviewed and processed study on which a clinician can base a clinically useful triage/prioritization assessment considering all available clinical information.
It is important to note that, like the predicate, the device does not remove cases from a reading queue. Again, both devices operate in parallel with the standard of care, which remains the default option for all cases.
| Substantial Equivalence Table | | |
|-------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Comparison<br>Feature | Aidoc Briefcase (K180647) | RAPID ICH |
| Indications<br>for Use | Aidoc Briefcase is a radiological<br>computer aided triage and<br>notification software indicated for<br>use in the analysis of non-enhanced<br>head CT images.<br>The device is intended to assist<br>hospital networks and trained<br>radiologists in workflow triage by<br>flagging and communication of<br>suspected positive findings of<br>pathologies in head CT images,<br>namely Intracranial Hemorrhage<br>(ICH). | RAPID ICH is a radiological<br>computer aided triage and<br>notification software indicated for<br>use in the analysis of non-<br>enhanced head CT images. The<br>device is intended to assist<br>hospital networks and trained<br>radiologists in workflow triage by<br>flagging and communication of<br>suspected positive findings of<br>pathologies in head CT images,<br>namely Intracranial Hemorrhage<br>(ICH). |
| | Aidoc Briefcase uses an artificial<br>intelligence algorithm to analyze<br>images and highlight cases with<br>detected ICH on a standalone<br>desktop application in parallel to the<br>ongoing standard of care image<br>interpretation. The user is presented<br>with notifications for cases with<br>suspected ICH findings.<br>Notifications include compressed<br>preview images that are meant for<br>informational purposes only and not<br>intended for diagnostic use beyond<br>notification. The device does not<br>alter the original medical image and<br>is not intended to be used as a<br>diagnostic device. The results of<br>Aidoc Briefcase are intended to be<br>used in conjunction with other<br>patient information and based on<br>professional judgment, to assist with<br>triage/prioritization of medical<br>images. Notified clinicians are<br>responsible for viewing full images<br>per the standard of care. | RAPID ICH uses an artificial<br>intelligence algorithm to analyze<br>images and highlight cases with<br>detected ICH on a standalone<br>desktop application in parallel to<br>the ongoing standard of care<br>image interpretation. The user is<br>presented with notifications for<br>cases with suspected ICH<br>findings. Notifications include<br>compressed preview images that<br>are meant for informational<br>purposes only and not intended<br>for diagnostic use beyond<br>notification. The device does not<br>alter the original medical image<br>and is not intended to be used as a<br>diagnostic device. The results of<br>RAPID ICH are intended to be<br>used in conjunction with other<br>patient information and based on<br>professional judgment, to assist<br>with triage/prioritization of<br>medical images. Notified<br>clinicians are responsible for<br>viewing full images per the<br>standard of care. |
| Stroke/Head | Stroke/Head | Stroke/Head |
| Removal of<br>cases from<br>worklist<br>queue | No | No |
| Primary<br>Imaging<br>Modalities | NCCT | NCCT |
| Technical<br>Implementation | ML/AI/Neural Network | ML/AI/Neural Network |
| Segmentation<br>of ROI | No, the device does not highlight or<br>direct a user's attention to a specific<br>location in the image file. | No, the device does not highlight<br>or direct a user's attention to a<br>specific location in the image file. |
| Preview<br>Images | Presentation of a preview of the<br>study for initial assessment not<br>meant for diagnostic purposes.<br>The device operates in parallel with<br>the standard of care, which remains. | Presentation of a preview of the<br>study for initial assessment not<br>meant for diagnostic purposes.<br>The device operates in parallel<br>with the standard of care, which<br>remains. |
| Primary<br>User(s) | Radiologist | Clinician |
| Alteration of<br>original<br>image data<br>base | No | No |
| Alters<br>Standard of<br>Care<br>Workflow | In parallel to | In parallel to |
| Notification/<br>Prioritization | Yes - PACS, Workstation | Yes - PACS, Workstation, email,<br>mobile |
A table comparing the key features of the subject and predicate devices is provided below.
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# Section 5: 510(k) Summary (Ver. C)
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## Section 5: 510(k) Summary (Ver. C)
# Performance Standards:
RAPID ICH has been developed in conformance with the following standards, as applicable:
| EN ISO 14971:2012 | Application of Risk Management to Medical Devices |
|--------------------|--------------------------------------------------------|
| IEC 62304:2015 | Medical device software – Software lifecycle processes |
| NEMA PS 3.1 - 3.20 | Digital Imaging and Communications in Medicine (DICOM |
# Performance Data:
iSchemaView conducted a retrospective, blinded, multicenter, multinational study with the RAPID ICH software with the primary endpoint to evaluate the software's performance in identifying noncontrast CT head images containing intracranial hemorrhage (ICH) findings in 336 cases from US ( 4 Sites and 1 Multisite Study) and OUS sites (1 site. 1 multisite). There were approximately an equal number of positive and negative cases (images with ICH versus without ICH) included in the analysis.
Sensitivity and specificity exceeded the 80% performance goal. Specifically, sensitivity was observed to be Se: 0.899 (95% CI: 0.847 - 0.935) and Sp: 0.943 (95% CI: 0.895 - 0.970).
In addition, a secondary endpoint measure was RAPID ICH's time to notification of suspicion non-suspicion as 2.28 min (95% CI: 2.24 - 2.33) was achieved.
The RAPID ICH time-to-notification includes the time to get the DICOM exam, de-identify it (if required), analyze and send a notification back to the attending physician(s) email and mobile.
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Section 5: 510(k) Summary (Ver. C)
## Prescriptive Statement:
Caution: Federal law restricts this device to sale by or on the order of a physician.
## Safety & Effectiveness:
RAPID ASPECTS has been designed, verified and validated in compliance with 21 CFR, Part 820.30 requirements. The device has been designed to meet the requirements associated with EN ISO 14971:2012 (risk management) and the software development process conforms to ISO 62304:2015. The RAPID ICH performance has been validated through the use of phantoms and retrospective case data and through the use of reader truthing of the data.
## Conclusion:
In conclusion, iSchemaView's RAPID ICH is substantially equivalent in technological characteristics, safety, and performance characteristics to the legally marketed predicate device, BriefCase (K180647); the two devices vary slightly in the notification pathway, the subject device has a mobile interface to allow messaging.
The RAPID ICH is thus substantially equivalent to the BriefCase predicate device.
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Learn the FDA Browser
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.