Augmento is a web-based PACS and radiology workflow management solution. It receives digital images and data from various DICOM compliant sources (i.e. CT scanners, ultrasound systems, RF Units, PET Units, computed & digital radiographic devices, secondary capture devices, imaging gateways and other imaging sources). Images and data can be stored, communicated, processed and displayed within the system and/or across computer networks at distributed locations. Only preprocessed DICOM "for presentation" images can be interpreted for primary image diagnosis in mammography. Lossy compressed images and digitized film screens of mammographic images must not be reviewed for primary image interpretations. Mammographic images may only be interpreted using a monitor that meets technical specifications identified by the FDA. This system is meant to be used by trained and qualified medical professionals, e.g physicians, radiologists, nurses, and medical technicians.
Device Story
Augmento is a web-based PACS and radiology workflow management system. It ingests DICOM images from various modalities (CT, MR, US, etc.) via a client-side gateway. The system organizes studies into a worklist, enabling radiologists to view, diagnose, and report on images. It provides 2D multi-planar reconstruction (MPR) and maximum intensity projection (MIP) for visualization. The system supports optional integration with FDA-cleared 3rd-party AI models, displaying their outputs "as-is" for clinician review. It is used in hospitals and imaging centers by radiologists and medical staff. The system facilitates communication and workflow management. Clinicians use the viewer to interpret images and AI findings to support clinical decision-making. Data is stored in an RDBMS and object storage, with TLS/HTTPS/AES-encrypted network transmission.
Clinical Evidence
Bench testing only. Testing included risk management (ISO 14971:2019), cybersecurity vulnerability assessment, usability testing (IEC 62366-1:2015), and software verification/validation (unit, integration, and system testing). An angle measurement study compared Augmento to an FDA-cleared viewer (Sotneta MedDream Viewer, K162011) using 12 X-ray scans across four categories (chest, knee, ankle, pelvis). Statistical analysis (equivalence test and T-test) demonstrated equivalent performance in the 0°-180° range. Interface testing confirmed 3rd-party AI model integration does not alter source DICOM file integrity.
Technological Characteristics
Web-based PACS; Windows 10 environment; supports DICOM standards (NEMA PS 3.1-3.20). Features MPR/MIP post-processing, 3D cursor, and optional 3rd-party AI integration. Connectivity via TCP/IP, TLS-based HTTPS with AES encryption. Software lifecycle per IEC 62304; usability per IEC 62366-1. Software level of concern: moderate.
Indications for Use
Indicated for trained medical professionals (physicians, radiologists, nurses, technicians) to store, communicate, process, and display DICOM images (CT, MR, US, RF, PET, DX, CR, NM, MG, RG, XA) for diagnostic analysis. Mammography images require "for presentation" DICOM files and FDA-compliant monitors; lossy compressed or digitized film mammography images are contraindicated for primary diagnosis.
Regulatory Classification
Identification
A medical image management and processing system is a device that provides one or more capabilities relating to the review and digital processing of medical images for the purposes of interpretation by a trained practitioner of disease detection, diagnosis, or patient management. The software components may provide advanced or complex image processing functions for image manipulation, enhancement, or quantification that are intended for use in the interpretation and analysis of medical images. Advanced image manipulation functions may include image segmentation, multimodality image registration, or 3D visualization. Complex quantitative functions may include semi-automated measurements or time-series measurements.
Special Controls
*Classification.* Class II (special controls; voluntary standards—Digital Imaging and Communications in Medicine (DICOM) Std., Joint Photographic Experts Group (JPEG) Std., Society of Motion Picture and Television Engineers (SMPTE) Test Pattern).
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Image /page/0/Picture/0 description: The image contains the logos of the Department of Health & Human Services and the Food and Drug Administration (FDA). The Department of Health & Human Services logo is on the left, and the FDA logo is on the right. The FDA logo includes the letters "FDA" in a blue square, followed by the words "U.S. Food & Drug Administration" in blue text.
Deeptek Medical Imaging Private Limited % Manoj Zacharias US Agent Liberty Management Group Ltd. 75 Executive Drive, Suite 114 Aurora, IL 60504
April 11, 2023
Re: K222781
Trade/Device Name: Augmento Regulation Number: 21 CFR 892.2050 Regulation Name: Medical Image Management And Processing System Regulatory Class: Class II Product Code: LLZ Dated: March 10, 2023 Received: March 14, 2023
Dear Manoj Zacharias:
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/cfpmn/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
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801 and Part 809); 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 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,
Jessica Lamb
Jessica Lamb, Ph.D. Assistant Director Imaging Software Team DHT8B: Division of Radiological Imaging Devices and Electronic Products OHT8: Office of 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) K222781
Device Name Augmento
## Indications for Use (Describe)
Augmento is a web-based PACS and radiology workflow management solution. It receives digital images and data from various DICOM compliant sources (i.e. CT scanners, ultrasound systems, RF Units, PET Units, computed & digital radiographic devices, secondary capture devices, imaging gateways and other imaging sources). Images and data can be stored, communicated, processed and displayed within the system and/or across computer networks at distributed locations.
Only preprocessed DICOM "for presentation" images can be interpreted for primary image diagnosis in mammography. Lossy compressed images and digitized film screens of mammographic images must not be reviewed for primary image interpretations. Mammographic images may only be interpreted using a monitor that meets technical specifications identified by the FDA.
This system is meant to be used by trained and qualified medical professionals, e.g physicians, radiologists, nurses, and medical technicians.
Type of Use (Select one or both, as applicable)
| <span style="font-family: Arial, sans-serif;"> <input checked="true" type="checkbox"/> Prescription Use (Part 21 CFR 801 Subpart D) </span> |
|-----------------------------------------------------------------------------------------------------------------------------------------------|
| <span style="font-family: Arial, sans-serif;"> <input type="checkbox"/> Over-The-Counter Use (21 CFR 801 Subpart C) </span> |
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Image /page/3/Picture/0 description: The image shows the logo for DeepTek. The logo consists of the word "DEEPTEK" in blue and orange letters, with the "TE" in orange. To the right of the word is a series of three overlapping circles in blue. The circles appear to be emanating from the letter "P" in the word "DEEPTEK".
## 510(k) Summary (K222781)
[AS REQUIRED BY 21CFR807.92]
#### I. APPLICANT INFORMATION
| Submitter's Name | DEEPTEK MEDICAL IMAGING PRIVATE LIMITED |
|--------------------------|----------------------------------------------------------------------------------------|
| Submitter's Address | 3rd floor, Ideas to impact, Pallod Farms 3, Baner, 411045,<br>Pune, Maharashtra, INDIA |
| Name of Contact Person | Kallol Sen |
| Designation | Head of Quality and Regulatory compliance |
| Contact Number | +91 9804019133 |
| Contact E-mail | regulatory@deeptek.ai |
| Date of Summary Prepared | 03/04/2023 |
#### DEVICE DETAILS II.
| Device Trade Name | Augmento |
|--------------------|------------------------------------------------|
| Device Common Name | Medical image management and processing system |
| Regulation Name | Medical image management and processing system |
| Regulation Number | 21 CFR 892.2050 |
| Device Class | Class 2 |
| Product Code | LLZ |
#### III. PREDICATE DEVICE DETAILS
| Device Trade Name | NubeX |
|--------------------------|-------------------|
| Device Manufacturer Name | TechHeim Co., Ltd |
| 510(k) Number | K211480 |
| Regulation Number | 21 CFR 892.2050 |
| Device Class | Class 2 |
| Product Code | LLZ |
REGISTERED OFFICE: 3RD FLOOR, IDEAS TO IMPACT, PALLOD FARMS 3, BEHIND VIJAY SALES, BANER, PUNE 411045, MAHARASHTRA, INDIA TEL: +91-727-606-0080 GST: 27AAGCD7427D1ZQ PAN: AAGCD7427D CN: U7499PN2018FTC177289 TAN: PNED13525B
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#### IV. DEVICE DESCRIPTION
Augmento is a web based PACS and radiology workflow management solution. It is used to receive DICOM images from multiple systems, organize and store them into a centrally managed worklist and distribute the information across a web-based network. It is used by hospitals, imaging centers, radiologists, radiology professional services providers, and any user who requires and is granted access to the patient image, information, and reports. It is intended to be used as a platform for the diagnosis and analysis of radiology images by trained and qualified medical personnel such as radiologists, physicians, nurses, and medical technicians.
It receives digital images and data from various DICOM-compliant sources (i.e., CT scanners, ultrasound systems, RF Units, computed & digital radiographic devices, secondary capture devices, imaging gateways, and other imaging sources). It provides MPR/MIP post-processing components that allow enhanced visualization to radiologists and assist them in diagnostic analysis and quantification of Computed Tomography (CT) and Magnetic Resonance (MR) images. When images are reviewed and used for diagnosis, it is the responsibility of the medical professional to determine if the images is suitable for clinical application.
It provides optional integration with FDA-cleared 3rd party AI models. The solution only provides support for the visualization of outputs of 3rd party AI models "as-is". The safety and effectiveness of the 3rd party model is covered under the original 3rd party manufacturer's regulatory clearance. Augmento receives the output merely displays the simple output and the original image is always accessible. It is the responsibility of qualified medical practitioners to review the AI output, confirm the finding, and perform the diagnosis.
Augmento incorporates the following:
- 1. The system consists of the Gateway that is installed on the client side within the network of the modality/PACS. It can be deployed over conventional TCP/IP networking infrastructure available in most healthcare organizations. The Gateway is installed on a computer with a stable internet connection for web-based transmission or connected to a Local Area Network (LAN) for image transmission within a given network. The gateway receives the DICOM images from various DICOM-compliant sources and pushes them to the Augmento platform. The gateway also receives secondary capture images from the Augmento platform and sends these out to the connected hospital PACS.
- 2. It has a Study List, which includes all the studies that are uploaded to the system.
- 3. It has a radiology workflow management system. Supervisors can assign the studies to Radiologists. Radiologists can then view the study images, diagnose them and prepare reports.
- 4. It is used by radiologists to view the DICOM images for diagnosis and reporting. The viewer supports DICOM images from Digital X-Ray (DX), Computerized Radiography (CR), Ultrasound (US), Computed Tomography (CT), Magnetic Resonance (MR), Nuclear Medicine (NM), Digital Mammography (MG), Positron Emission Tomography (PET), Radiographic imaging (RG), Radio Fluoroscopy (RF) and X-Ray Angiography (XA).
- 5. It supports optional integration with FDA-cleared 3rd party AI models. It sends the input study to the 3rd party AI model, receives the AI output and displays outputs of the 3rd party AI model "as-is" in the Viewer
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for visualization by the Radiologist to assist in diagnosing the study. Outputs are displayed in accordance with the 3rd party provider's requlatory clearance. The original image is always accessible.
- 6. It can provide alerts for the studies in the Worklist based on the outputs provided by the 3rd party AI models.
- 7. It displays the output of the 3rd party AI model in the Viewer for visualization by the Radiologist to assist in diagnosing the study.
- 8. It provides MPR/MIP 2D multi-planar reconstruction post-processing components that allow enhanced visualization to radiologists and assist them in diagnostic analysis.
- 9. The Analytics component provides analytical reports based on the studies uploaded and reported on the system.
- 10. Smart Notifications are sent to all important events in the application. None of these notifications are related to potentially suspected findings identified by the FDA-cleared 3rd party AI models optionally integrated with Augmento.
- 11. It provides a communication feature to all the users associated with a given study.
- 12. For data storage, an RDBMS is used. For saving and retrieving DICOM images, thumbnails, clinical documents, and radiologist signatures an object storage server is used.
- 13. The network type used is TLS-based transmission with HTTPS and AES encryption.
#### V. INDICATIONS FOR USE
Augmento is a web-based PACS and radiology workflow management solution. It receives digital images and data from various DICOM compliant sources (i.e. CT scanners, MR scanners, ultrasound systems, RF Units, PET Units, computed & digital radiographic devices, secondary capture devices, imaqing gateways, and other imaging sources). Images and data can be stored, communicated, processed, and displayed within the system and/or across computer networks at distributed locations.
Only preprocessed DICOM "for presentation" images can be interpreted for primary image diagnosis in mammography. Lossy compressed images and digitized film screens of mammographic images must not be reviewed for primary image interpretations. Mammographic images may only be interpreted using a monitor that meets the technical specifications identified by the FDA.
This system is meant to be used by trained and qualified medical professionals, e.q physicians, radiologists, nurses, and medical technicians.
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### COMPARISON OF TECHNOLOGICAL CHARACTERISTICS WITH THE PREDICATE VI. DEVICE
| Sl.<br>No | Features<br>compared | Proposed Device | Predicate Device | Result |
|---------------------|-------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|
| General Information | | | | |
| 1. | 510(k) Number | K222781 | K211480 | - |
| 2. | Manufacturer | DEEPTEK MEDICAL IMAGING<br>PRIVATE LIMITED | TECHHEIM CO., LTD | - |
| 3. | Common Name | Medical image management<br>and processing system | Medical image management<br>and processing system | Same |
| 4. | Classification Name | System, Image Processing,<br>Radiological | System, Image Processing,<br>Radiological | Same |
| 5. | Classification | Class II | Class II | Same |
| 6. | Regulation number | 21 CFR 892.2050 | 21 CFR 892.2050 | Same |
| 7. | Product Code | LLZ | LLZ | Same |
| 8. | Indications For Use | Augmento is a web-based PACS and radiology workflow management solution. It receives digital images and data from various DICOM-compliant sources (i.e. CT scanners, MR scanners, ultrasound systems, RF Units, PET Units, computed & digital radiographic devices, secondary capture devices, imaging gateways, and other imaging sources). Images and data can be stored, communicated, processed, and displayed within the system and/or across computer | NubeX PACS is a software device that receives medical images and data from various imaging sources. Images and data can be stored, communicated, processed, and displayed within the system or across computer networks at distributed locations. Only preprocessed DICOM for presentation images can be interpreted for primary image diagnosis in mammography.<br>Lossy compressed mammographic images and | Same |
| SI.<br>No | Features<br>compared | Proposed Device | Predicate Device | Result |
| | | networks<br>at distributed<br>locations.<br>Only preprocessed DICOM "for<br>presentation" images can be<br>interpreted for primary image<br>diagnosis in mammography.<br>Lossy compressed images and<br>digitized film screens of<br>mammographic images must<br>not be reviewed for primary<br>image interpretations.<br>Mammographic images may<br>only be interpreted using a<br>monitor that meets the technical<br>specifications identified by the<br>FDA.<br>This system is meant to be used<br>by trained and qualified medical<br>professionals, e.g., physicians,<br>radiologists, nurses, and<br>medical technicians. | digitized film screen images<br>must not be reviewed for<br>primary image interpretations.<br>Mammographic images may<br>only be interpreted using a<br>monitor that meets technical<br>specifications identified by<br>FDA. Typical users of this<br>system are trained<br>professionals, e.g. Physicians,<br>radiologists, nurses, and<br>medical technicians. | |
| 9. | Prescription or OTC | Prescription | Prescription | Same |
| | Specifications | | | |
| 10. | Modalities | Various Image sources | Various image sources | Same |
| 11. | Web browser<br>software | Google Chrome, Mozilla, and<br>Edge | Google Chrome | Similar¹ |
| 12. | Resolution | 32bit Color Display &<br>1920x1080 | 32bit Color Display &<br>1920x1080 | Same |
| 13. | Image Storage | Yes | Yes | Same |
| 14. | Software<br>environment | OS: Windows 10 | OS: Windows 10 | Same |
## Table 1: General Comparison
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| SI.<br>No | Features<br>compared | Proposed Device | Predicate Device | Result | | | | |
|-----------|----------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------|--|--|--|--|
| | Functions | | | | | | | |
| 15. | Main Functions | • Log In<br>• Worklist – Search Filter<br>• Worklist – Open image<br>• Work list- study List<br>• Worklist - Report<br>• Worklist - Series<br>• Viewer – View exam<br>• Viewer – Control View<br>window<br>• Viewer – view mode (real<br>resolution)<br>• Viewer – View mode<br>(Highlight)<br>• Viewer - Stacking<br>• Viewer – Changing the layout<br>• Viewer – Comparative study<br>• Viewer – Preset filter<br>• Viewer - Zoom<br>• Viewer – Panning<br>• Viewer - Invert Image<br>• Viewer – Viewing mode<br>(Normal/ Image/ Stack/<br>Custom/ Annotation)<br>• Viewer – Comparative study<br>• Viewer – Rotation<br>• MIP/MPR Reconstruction<br>• Viewer – Reference line<br>• Viewer - Sharpening<br>• Viewer - Measure<br>• Viewer – Inverting image<br>color<br>• Viewer - Cine<br>• Viewer- Overlaying. | • Log In<br>• Worklist – Search Filter<br>• Worklist – Open image<br>• Worklist - exam list<br>• Worklist - Report<br>• Worklist - Series<br>• Viewer – View exam<br>• Viewer – Control View<br>window<br>• Viewer – view mode (large)<br>• Viewer – view mode (real<br>resolution)<br>• Viewer – View mode<br>(Highlight)<br>• Viewer – Stacking<br>• Viewer – Changing the<br>layout<br>• Viewer - Preset filter<br>• Viewer - Zoom<br>• Viewer – Panning<br>• Viewer - Invert Image<br>• Viewer – Viewing mode<br>(Normal/ Image/ Stack/<br>Custom/ Annotation)<br>• Viewer – Comparative<br>study<br>• Viewer – Advanced image<br>operation<br>• Viewer – Scout line<br>• Viewer – Rotation<br>• Viewer – Sharpening<br>• Viewer - Cine | Similar2 | | | | |
| 16. | 3D Cursor | Yes | Yes | Same | | | | |
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| SI.<br>No | Features<br>compared | Proposed Device | Predicate Device | Result |
|-----------|---------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------|-----------|
| 17. | Optional Integration<br>of FDA-cleared 3rd<br>party AI models | Yes | No | Different |
| 18. | Operation feature | Web environment-based PACS. Viewing and handling DICOM medical images. Review and report study located on a server | Web environment-based PACS. Viewing and handling DICOM medical images. Review, modify and approve the study located in a server. | Same |
The technological principle for both the subject and predicate devices are the same in terms of Prescription Use, support of various modalities, resolution, image storage, use of DICOM Standard, 3D Cursor, and Operation features. Most of the features, specifications and functions of both the subject and predicate devices like indications for use, software web browser, software intended environment, study viewer, and study worklist are similar.
Auqmento provides the feature of optional integration with external FDA-cleared 3rd party AI models whereas NubeX does not claim to have this feature. The integration with the FDA-cleared 3rd party AI models is optional, based on the user's discretion, and always in accordance with the 3rd party manufacturer's regulatory clearance. Further, Augmento receives the AI output and merely displays the output of the integrated FDAcleared 3rd party AI models, "as-is". Similarly, the Arterys MICA (K203744) device included such an addition with the ability to integrate with 3rd party AI models outputs within their viewer. Hence, the difference does not affect the product effectiveness and safety.
#### VII. NON-CLINICAL PERFORMANCE DATA
The Non-Clinical performance activities include:
- Risk management & Cybersecurity ●
- > Device Hazard analysis
- > Cybersecurity Risk Assessment
- Usability Testing ●
- Software Verification & Validation ●
- > User Acceptance Testing
- > Software Unit Test
- > Software Integration Test and System Test
- Angle Measurement Study ●
- Augmento - 3rd Party AI Model Integration Interface Testing
{10}------------------------------------------------
Non-clinical testing consisted of:
- . Device Hazard Analysis and mitigations, and design considerations pertaining to intentional and unintentional risks associated with Augmento to reduce the risks as per ISO 14971:2019, evidence of Risk-handling activities that may be invoked throughout the life of the device, are detailed.
- . Vulnerability Assessment & Penetration to check whether the security controls are adequately implemented in Augmento to mitigate the cybersecurity risks.
- . Usability testing for verifying and validating the usability of the Augmento user interface to IEC 62366-1:2015 are done.
- . User Acceptance Testing is to test all the features which comply with the intended use of Augmento. The intended use of the software is verified against SRS / SDS documents.
- . Unit Testing is to verify end-to-end workflow-based units encompassing all the major units of the product, ensuring that the unit code is complying with the correctness, and intended use of the product.
- . In Integration testing, end-to-end integration of the different software components covering APIs, external SOUP applications and tools, independent Libraries, etc across all the different features, and functionalities of Augmento are tested. System testing covers all the functional testing for end-to-end working. The functionalities cover, but are not restricted to Configuration and Settings, User management, DICOM viewer and DICOM Acceptor's working, Search operations, Assigning Radiologists, Smart tags operations, Conversation operations, Report Management, Audit Log Management, Error Handling, and Hospital Management
- . Unit testing, Integration & System testing, and User Acceptance Testing (UAT) for which test cases were created and executed. The test cases were addressed and successfully passed the acceptance criteria.
- . Anqle Measurement study was conducted to establish the substantial equivalence of the limit and accuracy of the angle tool of Augmento in comparison with an FDA-cleared DICOM viewer. In the study, an FDAcleared DICOM viewer was used to measure the common angles from different X-ray scans. Replicability was demonstrated by measurements made by two readers in twelve independent X-ray scans from four different categories: frontal chest, AP knee, lateral ankle, and AP pelvis. These measurements were compared to the angles measured using Augmento. Two statistical analysis tests: the equivalence test and T-test were used. The limit of the angle measurement tool of Augmento is observed to be equivalent to the angle measurement tool of FDA-cleared DICOM viewer (Sotneta MedDream Viewer(K162011)) is in the range of 0° and 180°. The results conclude that the two viewers are substantially equivalent.
- . The integration interface between Augmento and 3rd party AI model was tested to confirm that the integrity of the source DICOM file and output from AI models is unaltered and hence, does not get impacted when the source file is sent to the AI model for findings and the AI model sends the output to Augmento through the interface.
The non-clinical testing demonstrates that the subject device performs in accordance with its intended use, complies with the requirements specified in the FDA-recognized consensus standards, software level of concern is "moderate" and meets the acceptance criteria indicating that the subject device does not raise any new safety and/or effectiveness concerns and is substantially equivalent to the predicate.
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## The standards applicable as per Recognized Consensus Standards are as below:
- · IEC 62304 Edition 1.1 2015-06 Consolidated Version Medical device software life cycle processes.
- · IEC 62366-1:2015: Medical devices-Part 1: Application of usability engineering to medical devices.
- · ISO 14971 Third Edition 2019-12 Medical Devices Application of risk management to medical devices.
- NEMA PS 3.1 3.20 2021 Digital Imaging and Communications in Medicine (DICOM) Set.
- · IEC ISO 10918-1 First edition 1994-02-15 Information technology Digital compression and codinq of continuous-tone still images: Requirements and quidelines [Including Technical Corrigendum 1 (2005)].
## VIII. CONCLUSION
The subject device and the predicate device NubeX (K211480) have similar indications for use, technological characteristics, and principles of operation. Based on the technological characteristics and non-clinical performance testing we conclude that Augmento is as safe and effective as its predicate device and does not raise any new issues related to safety and effectiveness compared to the predicate. Therefore, the subject device Augmento is substantially equivalent to the predicate device.
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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.