K192630 · Shanghai United Imaging Healthcare Co., Ltd. · LLZ · Jun 11, 2020 · Radiology
Device Facts
Record ID
K192630
Device Name
uWS-MI
Applicant
Shanghai United Imaging Healthcare Co., Ltd.
Product Code
LLZ · Radiology
Decision Date
Jun 11, 2020
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.2050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
uWS-MI is a software solution intended to be used for viewing, manipulation, communication, and storage of medical images. It supports interpretation and evaluation of examinations within healthcare institutions. It has the following additional indications: The Oncology application is intended to provide tools to display and analyze the follow-up PET/CT data, with which users can do image registration, lesion segmentation, and statistical analysis. The Dynamic Analysis application is intended to display PET data and anatomical data such as CT or MR, and supports to do lesion segmentation and output associated time-activity curve. The Brain Analysis (NeuroQ™) application is intended to analyze the brain PET scan, give quantitative results of the relative activity of 240 different brain regions, and make comparison of activity of normal brain regions in AC database or between two studies from the same patient, as well as provide analysis of amyloid uptake levels in the brain. The Cardiac Analysis (ECTb™) application is intended to provide cardiac short axis reconstruction, browsing function. And it also performs perfusion analysis, activity analysis and cardiac function analysis of the cardiac short axis.
Device Story
uWS-MI is a standalone software platform for processing, reviewing, and analyzing medical images (PET, CT, MR). It ingests DICOM 3.0 data via network or external storage. The software provides tools for image fusion, lesion segmentation, statistical analysis, and quantitative assessment of brain and cardiac function. It is used by trained, licensed physicians in clinical settings to interpret images and statistics. Outputs include reconstructed images, time-activity curves, and quantitative reports, which assist clinicians in diagnostic evaluation and follow-up. The device facilitates clinical decision-making by providing standardized analysis tools for oncology, neurology, and cardiology workflows.
Clinical Evidence
No clinical study was required. Evidence consists of software verification and validation, including hazard analysis, performance evaluation reports for segmentation algorithms (lung, lymph node), non-rigid registration, percentage threshold segmentation, and PET-MR auto-registration image fusion.
Technological Characteristics
Standalone software for medical image processing. Operates on standard hardware/OS. Supports DICOM 3.0 connectivity. Implements various image processing algorithms including non-rigid registration, threshold-based segmentation (fixed, adaptive, percentage), and quantitative analysis modules for oncology, neurology, and cardiology. Complies with NEMA PS 3.1-3.20 (DICOM), ISO 14971 (risk management), and IEC 62304 (software life cycle).
Indications for Use
Indicated for healthcare institutions to view, manipulate, communicate, and store medical images (PET, CT, MR). Oncology application for follow-up PET/CT analysis (registration, segmentation, statistics). Dynamic Analysis for PET/CT/MR lesion segmentation and time-activity curves. Brain Analysis (NeuroQ) for quantitative PET activity in 240 regions, AC database comparisons, longitudinal patient comparisons, and amyloid uptake analysis. Cardiac Analysis (ECTb) for short-axis reconstruction, perfusion, activity, and functional analysis.
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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Shanghai United Imaging Healthcare Co., Ltd. Jiading District % Xin Gao Regulatory Affairs Manager NO. 2258 Chengbei Road Shanghai, Shanghai 201807 CHINA
## Re: K192630
Trade/Device Name: uWS-MI Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: May 9, 2020 Received: May 13, 2020
#### Dear Xin Gao:
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
June 11, 2020
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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 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) K192630
Device Name uWS-MI
#### Indications for Use (Describe)
uWS-MI is a software solution intended to be used for viewing, manipulation, and storage of medical images. It supports interpretation and evaluation of examinations within healthcare institutions. It has the following additional indications:
The Oncology application is intended to provide tools to display and analyze the follow-up PET/CT data, with which users can do image registration, lesion segmentation, and statistical analysis.
The Dynamic Analysis application is intended to display PET data and anatomical data such as CT or MR, and supports to do lesion segmentation and output associated time-activity curve.
The Brain Analysis (NeuroQ™) application is intended to analyze the brain PET scan, give quantitative results of the relative activity of 240 different brain regions, and make comparison of activity of normal brain regions in AC database or between two studies from the same patient, as well as provide analysis of amyloid uptake levels in the brain.
The Cardiac Analysis (ECTb™) application is intended to provide cardiac short axis reconstruction, browsing function. And it also performs perfusion analysis, activity analysis and cardiac function analysis of the cardiac short axis.
| Type of Use (Select one or both, as applicable) | |
|---------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|
| <div> <span> Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> | <div> <span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
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Image /page/3/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" shape, which is formed by two vertical lines and a horizontal line in the middle. The logo is simple and modern, and the colors are muted.
# SECTION 3
510(k) Summary
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# 510 (k) SUMMARY
K192630
# 1. Date of Preparation:
May 9, 2020
# 2. Sponsor Identification
Shanghai United Imaging Healthcare Co.,Ltd. No.2258 Chengbei Rd. Jiading District, 201807, Shanghai, China
Establishment Registration Number: 3011015597
Contact Person: Xin GAO Position: Regulatory Affairs Manager Tel: +86-021-67076888-5386 Fax: +86-021-67076889 Email: xin.gao@united-imaging.com
# 3. Identification of Proposed Device
Trade Name: uWS-MI Common Name: Image Post Processing Software Model(s): uWS-MI
Regulatory Information Classification Name: Picture archiving and communications system Classification: II Product Code: LLZ Regulation Number: 21 CFR 892.2050 Review Panel: Radiology
# 4. Identification of Predicate Device(s)
Predicate Device 510(k) Number: K172998 Device Name: uWS-MI
Reference Device#1 510(k) Number: K183170 Device Name: uWS-CT
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Image /page/5/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" stacked on top of each other in a bold, sans-serif font. To the right of the text is a stylized "U" shape, which is formed by two vertical lines and a curved line at the bottom. The logo is simple and modern, and the use of bold text and a clean design gives it a professional look.
Reference device#2 510(k) Number: K173897 Device Name: syngo.via MI Workflows
Reference device#3 510(k) Number: K180077 Device Name: NeuroQTM3.8
Reference device#4 510(k) Number: K123646 Device Name: Emory Cardiac Toolbox™4.0
# 5. Device Description
uWS-MI is a comprehensive software solution designed to process, review and analyze PET, CT or MR Images. It can transfer images in DICOM 3.0 format over a medical imaging network or import images from external storage devices such as CD/DVDs or flash drives. These images can be functional data or anatomical datasets, such as CT. It can be at one or more time-points or include one or more time-frames. Multiple display formats including MIP and volume rendering and multiple statistical analysis including mean, maximum and minimum over a user-defined region is supported. A trained, licensed physician can interpret these displayed images as well as the statistics as per standard practice.
This Traditional 510(k) is to request modification for the cleared Picture archiving and communications system (uWS-MI) which have been cleared by FDA via K172998 on April 5, 2018.
The modifications performed on the uWS-MI (K172998) in this submission are due to the change of the basic application (Image Fusion) and the advance applications (Oncology and Dynamic Analysis).
The modifications of Brain Analysis application (NeuroQ™ -- cleared by FDA via K180077) is that it can make comparison between two studies from the same patient, as well as provide analysis of amyloid uptake levels in the brain.
# 6. Indications for use
uWS-MI is a software solution intended to be used for viewing, manipulation,
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communication, and storage of medical images. It supports interpretation and evaluation of examinations within healthcare institutions. It has the following additional indications:
The Oncology application is intended to provide tools to display and analyze the followup PET/CT data, with which users can do image registration, lesion segmentation, and statistical analysis.
The Dynamic Analysis application is intended to display PET data and anatomical data such as CT or MR, and supports to do lesion segmentation and output associated timeactivity curve.
The Brain Analysis (NeuroQ™) application is intended to analyze the brain PET scan, give quantitative results of the relative activity of 240 different brain regions, and make comparison of activity of normal brain regions in AC database or between two studies from the same patient, as well as provide analysis of amyloid uptake levels in the brain.
The Cardiac Analysis (ECT6TM) application is intended to provide cardiac short axis reconstruction, browsing function. And it also performs perfusion analysis, activity analysis and cardiac function analysis of the cardiac short axis.
# 7. Technological Characteristic
The technology characteristics of the modified uWS-MI, reflected in this 510(k) submission, do not alter the scientific technology of the devices and are substantially equivalent to those of the predicate and reference devices.
The following tables compare the main features, principles of operation, fundamental scientific technology and intended use of uWS-MI when compared to the predicate devices.
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Image /page/7/Picture/1 description: The image shows the logo for United Imaging. The words "UNITED IMAGING" are stacked on top of each other in a bold, sans-serif font. To the right of the text is a stylized "U" symbol, which is composed of two vertical bars connected by a horizontal bar at the top.
| Item | Proposed Device | Predicate Device | Remark |
|-------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | uWS-MI | uWS-MI (K172998) | |
| Device Classification<br>Name | Picture Archiving and Communications<br>System | Picture Archiving and Communications<br>System | Same |
| Product Code | LLZ | LLZ | Same |
| Regulation Number | 21 CFR 892.2050 | 21 CFR 892.2050 | Same |
| Device Class | II | II | Same |
| Classification Panel | Radiology | Radiology | Same |
| Advanced Application | Yes | Yes | Same |
| Indications for use | uWS-MI is a software solution intended<br>to be used for viewing, manipulation,<br>communication, and storage of medical<br>images. It supports interpretation and<br>evaluation of examinations within<br>healthcare institutions. It has the<br>following additional indications:<br><br>The Oncology application is intended to<br>provide tools to display and analyze the<br>follow-up PET/CT data, with which users<br>can do image registration, lesion<br>segmentation, and statistical analysis.<br><br>The Dynamic Analysis application is<br>intended to display PET data and<br>anatomical data such as CT or MR, and<br>supports to do lesion segmentation and<br>output associated time-activity curve. | uWS-MI is a software solution intended<br>to be used for viewing, manipulation,<br>communication, and storage of medical<br>images. It supports interpretation and<br>evaluation of examinations within<br>healthcare institutions. It has the<br>following additional indications:<br><br>The PET/CT Oncology application is<br>intended to provide tools to display and<br>analyze the follow-up PET/CT data, with<br>which users can do image registration,<br>lesion segmentation, and statistical<br>analysis.<br><br>The PET/CT Dynamic Analysis<br>application is intended to display the<br>dynamic PET image data and its<br>associated time-activity curve. | The indication for use of<br>the proposed device is<br>expanded and replenished.<br>The proposed device<br>includes more functions<br>under each same<br>application as the predicate<br>device. This difference<br>will not affect the safety<br>and effectiveness. |
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Image /page/8/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" symbol. The symbol is dark gray and has a white vertical line running through the center, creating a negative space effect.
| | The Brain Analysis (NeuroQTM)<br>application is intended to analyze the<br>brain PET scan, give quantitative results<br>of the relative activity of 240 different<br>brain regions, and make comparison of<br>activity of normal brain regions in AC<br>database or between two studies from the<br>same patient, as well as provide analysis<br>of amyloid uptake levels in the brain.<br>The Cardiac Analysis (ECTbTM)<br>application is intended to provide cardiac<br>short axis reconstruction, browsing<br>function. And it also performs perfusion<br>analysis, activity analysis and cardiac<br>function analysis of the cardiac short<br>axis. | The PET/CT Brain Analysis (NeuroQTM)<br>application is intended to analyze the<br>brain PET scan, give quantitative results<br>of the relative activity of 240 different<br>brain regions, and make comparison of<br>activity of normal brain regions in AC<br>database.<br>The PET/CT Cardiac Analysis (ECTbTM)<br>application is intended to provide cardiac<br>short axis reconstruction, browsing<br>function. And it also performs perfusion<br>analysis, activity analysis and cardiac<br>function analysis of the cardiac short<br>axis. | | | | |
|------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------|--|--|--|
| Specification | | | | | | |
| Image communication | Yes | Yes | Same | | | |
| Hardware /OS | Yes | Yes | Same | | | |
| Patient Administration | Yes | Yes | Same | | | |
| Review 2D | Yes | Yes | Same | | | |
| Review 3D | Yes | Yes | Same | | | |
| Filming | Yes | Yes | Same | | | |
| Image Fusion | Yes | Yes | Modify a function under<br>this Application | | | |
| Inner View | Yes | Yes | Same | | | |
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| Visibility | Yes | Yes | Same |
|-------------|-----|-----|------|
| ROI/VOI | Yes | Yes | Same |
| MIP Display | Yes | Yes | Same |
| Compare | Yes | Yes | Same |
| Report | Yes | Yes | Same |
#### SE Discussion for Modified Advanced Applications 1.
| Application | Function name | Proposed device<br>uWS-MI | Predicate Device<br>uWS-MI<br>(K172998) | Remark |
|---------------------|--------------------------------------|---------------------------|-----------------------------------------|--------------------------------------------------------------------|
| Dynamic<br>Analysis | Reframe/Rebin | Yes | Yes | Same |
| | ROI Analysis | Yes | Yes | Same |
| | Pseudo color | Yes | Yes | Same |
| | Automatic cine | Yes | Yes | Same |
| | Curve Analysis | Yes | Yes | Same |
| | Table Statistics | Yes | Yes | Same |
| | Save | Yes | Yes | Same |
| | Filming | Yes | Yes | Same |
| | Manual registration | Yes | Yes | Same |
| | Auto registration | Yes | Yes | Same |
| | Dot registration | Yes | Yes | Same |
| | Fix threshold Segmentation | Yes | Yes | Same |
| | Adaptive threshold<br>Segmentation | Yes | Yes | Same |
| | Percentage threshold<br>segmentation | Yes | NO | New Function which will not<br>impact safety and<br>effectiveness. |
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Image /page/10/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the text is a stylized "U" symbol, which is also in a bold font. The color of the logo is a dark teal.
| Application | Function name | Proposed<br>device<br>uWS-MI | Predicate<br>Device<br>uWS-MI<br>(K172998) | Reference<br>device#1:<br>uWS-CT<br>(K183170) | Reference<br>device#2:<br>syngo.via MI<br>Workflows<br>(K173897) | Remark |
|----------------------------|---------------------------------------------|------------------------------|--------------------------------------------|-----------------------------------------------|------------------------------------------------------------------|----------------------------------------------------------------------------|
| Oncology | Compare display | Yes | Yes | / | / | Same |
| | Auto registration | Yes | Yes | / | / | Modified function<br>which will not impact<br>safety and<br>effectiveness. |
| | Manual registration | Yes | Yes | / | / | Same |
| | Spread | Yes | Yes | / | / | Same |
| | Statistical Analysis | Yes | Yes | / | / | Same |
| | Save | Yes | Yes | / | / | Same |
| | Fix Segmentation | Yes | Yes | / | / | Same |
| | Adaptive Segmentation | Yes | Yes | / | / | Same |
| | Percentage threshold<br>lesion segmentation | Yes | No | / | / | New Function which<br>will not impact safety<br>and effectiveness. |
| | Lung Nodule<br>Segmentation | Yes | / | Yes | / | Same |
| | Liver Tumor<br>Segmentation | Yes | / | Yes | / | Same |
| Lymph Node<br>Segmentation | Yes | / | | Yes | Same | |
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Image /page/11/Picture/1 description: The image contains the logo for United Imaging. The logo consists of the words "UNITED IMAGING" in bold, sans-serif font, stacked on top of each other. To the right of the words is a stylized "U" symbol, which is also in a bold, sans-serif font. The logo is in a dark gray color.
| Application | Function name | Proposed device<br>uWS-MI | Reference device#3:<br>NeuroqTM<br>(K180077) | Remark |
|---------------------------------|-----------------------------------------------|---------------------------|----------------------------------------------|--------|
| Brain<br>Analysis<br>(NeuroqTM) | Reformat | Yes | Yes | Same |
| | Quality Control | Yes | Yes | Same |
| | Slice Display | Yes | Yes | Same |
| | Compare | Yes | Yes | Same |
| | PET/CT Fusion | Yes | Yes | Same |
| | EQuAL analysis | Yes | Yes | Same |
| | AmyQ | Yes | Yes | Same |
| | Save results, Capture<br>region/display, Exit | Yes | Yes | Same |
| | 3D Display | Yes | Yes | Same |
| Application | Function name | Proposed device<br>uWS-MI | Reference device#4<br>Syntermed Emory Cardiac<br>ToolboxTM (K123646) | Remark |
|--------------------------------------------------------|---------------------------------------------|---------------------------|----------------------------------------------------------------------|--------|
| Cardiac<br>Analysis<br>(Emory<br>Cardiac<br>ToolboxTM) | Reconstruction | Yes | Yes | Same |
| | SSS | Yes | Yes | Same |
| | Polor Maps | Yes | Yes | Same |
| | Perfusion Analysis | Yes | Yes | Same |
| | Viability Analysis | Yes | Yes | Same |
| | Functional Analysis | Yes | Yes | Same |
| | Save results, Capture region/display , Exit | Yes | Yes | Same |
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Image /page/12/Picture/1 description: The image contains the logo for United Imaging. The words "UNITED" and "IMAGING" are stacked on top of each other in bold, sans-serif font. To the right of the text is a stylized "U" symbol, which is also in bold and appears to be a solid color. The logo is simple and modern in design.
| How<br>1001 | I AD | C<br>I W | Same |
|-------------|------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|------|
| ﻟ | ह<br>r UD | ન તાલુ<br>ﺗﺄﺳﻴﺴﺎﺕ ﺳﻨﺔ 1999 ﻓﻲ ﺇﺳﺒﺎﻧﻴﺎ، ﻭﻳﺘﺤﺪ ﺍﻟﻤﺪﻳﻨﺔ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟﻤﺘﺤﺪﺓ ﺍﻟ | Same |
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Image /page/13/Picture/1 description: The image contains the logo for United Imaging. The words "UNITED IMAGING" are stacked on top of each other and are in a bold, sans-serif font. To the right of the words is a stylized "U" shape that is dark gray. The logo is simple and modern.
#### 8. Performance Data
The following performance data were provided in support of the substantial equivalence determination.
## Biocompatibility
Not Applicable to the proposed device, because the device is stand-alone software.
## Electrical Safety and Electromagnetic Compatibility (EMC)
Not Applicable to the proposed device, because the device is stand-alone software.
## Software Verification and Validation
Software verification and validation testing was provided to demonstrate safety and efficacy of the proposed device. This includes a hazard analysis, and the potential hazards have been classified as a moderate level of concern (LOC). Those documentations include:
- Software description
- Device Hazard Analysis
- · Software requirements specification (SRS)
- · Software Architecture Design Chart
- · Software Development Environment Description
- · Software Verification and Validation
- · Cybersecurity Documents
#### Animal Study
No animal study was required.
#### Clinical Studies
No clinical study was required.
#### Performance Verification
- . Performance Evaluation Report for Lung Nodule and Lymph Nodule Segmentation Algorithms
- Performance Evaluation Report for Non-rigid Registration Algorithm
- . Performance Evaluation Report for Percentage Threshold Segmentation Algorithm
- . Performance Evaluation Report for PET-MR Auto Registration Image Fusion
# Other Standards and Guidance
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Image /page/14/Picture/1 description: The image contains the logo for United Imaging. The words "UNITED IMAGING" are stacked on top of each other and are in a bold, sans-serif font. To the right of the text is a stylized "U" shape, which is likely a graphical representation of the company's initial. The logo is simple, modern, and professional in appearance.
- NEMA PS 3.1 3.20 Digital Imaging and Communications in Medicine . (DICOM) Set (2016).
- . ISO 14971 Medical devices - Application of risk management to medical devices (Edition 2.0, corrected version, 2007).
- . IEC 62304 Medical device software - Software life cycle processes (Edition 1.1, 2015).
## Summary
The features described in this premarket submission are supported with the results of the testing mentioned above; the uWS-MI was found to have a safety and effectiveness profile that is similar to the predicate device and reference devices.
# 9. Substantial Equivalent Conclusion
The proposed device is equivalent to the predicate device with regard to safety and efficacy. This conclusion is based upon a comparison of intended use, technological characteristics, performance specification, device hazards as well as verification and validation results.
In summary, the proposed device is determined to be Substantial Equivalent to the predicate device and reference devices.
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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.