qp-Prostate is an image processing software package to be used by trained professionals, including radiologists specialized in prostate imaging, urologists and oncologists. The software runs on a standard "off-the-shelf" workstation and can be used to perform image viewing, processing and analysis of prostate MR images. Data and images are acquired through DICOM compliant imaging devices and modalities. Patient management decisions should not be based solely on the results of qp-Prostate. qp-Prostate does not perform a diagnostic function, but instead allows the users to visualize and analyze DICOM data.
Device Story
qp-Prostate is a client-server medical image processing software for prostate MR analysis. It ingests DICOM-compliant MR images (T2-weighted, DWI, DCE) from PACS. The software features plug-in modules for Apparent Diffusion Coefficient (ADC) calculation using a mono-exponential model and perfusion-pharmacokinetics (PKM) analysis using the Tofts model. Processing steps include spatial smoothing, motion correction, and Arterial Input Function (AIF) selection. It provides a DICOM viewer, segmentation tools, and structured reporting (PI-RADS v2.1). Used in hospitals/clinics by radiologists, urologists, and oncologists via web browsers on standard workstations. The device does not perform automated diagnosis; it assists clinicians in visualizing and quantifying functional properties of prostate tissue to support clinical decision-making.
Clinical Evidence
Bench testing utilized QIBA Digital Reference Objects (DROs) for DWI and DCE modules to validate quantitative accuracy. Clinical performance testing evaluated algorithms (spatial smoothing, registration, segmentation, motion correction, AIF selection) using 155-243 clinical prostate MR cases from multiple vendors (Siemens, GE, Philips) at 1.5T and 3T. Comparative analysis against the predicate device was performed on 157 clinical cases.
Technological Characteristics
Client-server software architecture; runs on standard off-the-shelf workstations via web browser (Chrome/Firefox). Integrates with PACS via DICOM 3.0. Implements mono-exponential diffusion model and Tofts pharmacokinetic model. Complies with ISO 62304, ISO 14971, ISO 82304, IEC 60601-1, IEC 62366, ISO 80002, and ISO 13485.
Indications for Use
Indicated for trained professionals, including radiologists, urologists, and oncologists, to perform viewing, processing, and analysis of prostate MR images for patients with existing prostate MR data.
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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February 4, 2021
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QUIBIM S.L. % John J. Smith, M.D., J.D. Partner Hogan Lovells US LLP 555 13th Street, NW WASHINGTON DC 20005
Re: K203582
Trade/Device Name: qp-Prostate Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: Class II Product Code: LLZ Dated: December 7, 2020 Received: December 7, 2020
Dear Dr. Smith:
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 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for
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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 mediation-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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510(k) Number (if known) K203582
Device Name
ap-Prostate
Indications for Use (Describe)
gp-Prostate is an image processing software package to be used by trained professionals, including radiologists specialized in prostate imaging, urologists. The software runs on a standard "off-the-shelf" workstation and can be used to perform image viewing, processing and analysis of prostate MR images. Data and images are acquired through DICOM compliant imaging devices and modalities. Patient management decisions should not be based solely on the results of qp-Prostate. gp-Prostate does not perform a diagnostic function, but instead allows the users to visualize and analyze DICOM data.
Type of Use (Select one or both, as applicable)
区 Prescription Use (Part 21 CFR 801 Subpart D)
_ Over-The-Counter Use (21 CFR 801 Subpart C)
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# 510(k) SUMMARY QUIBIM's qp-Prostate
## K203582
# CONTACT DETAILS
#### Submitter
QUIBIM, S.L.
Avenida Aragón 30, 12th floor, Office I, 46021 Valencia (Spain)
## Phone:
- +34 961 243 225 .
- +34 686 784 484 .
#### Contact Person:
- . Ángel Alberich Bayarri, CEO and Founder of QUIBIM (angel@quibim.com)
- . Belén Fos Guarinos, Quality Assurance and Regulatory Affairs Manager (belenfos@quibim.com)
#### Date Prepared:
January 28, 2021
## DEVICE INFORMATION
Name of Device: qp-Prostate
Common or Usual Name: PACS
Classification Name: 892.2050 Picture archiving and communications system (LLZ)
Regulatory Class: Class II
Classification Panel: Radiology
#### LEGALLY MARKETED PREDICATE DEVICE
- Manufacturer's name: OLEA Medical (93 avenue des Sorbiers, Zone Athelia IV La Ciotat 13600, France)
- Device's trade name: Olea Sphere v3.0
- . 510(k) number: K152602
- Product code: LLZ ●
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## INTENDED USE / INDICATIONS FOR USE
qp-Prostate is an image processing software package to be used by trained professionals, including radiologists specialized in prostate imaging, urologists and oncologists. The software runs on a standard "off-the-shelf" workstation and can be used to perform image viewing, processing and analysis of prostate MR images. Data and images are acquired through DICOM compliant imaging devices and modalities. Patient management decisions should not be based solely on the results of gp-Prostate. qp-Prostate does not perform a diagnostic function, but instead allows the users to visualize and analyze DICOM data.
## DEVICE DESCRIPTION
gp-Prostate is a medical image viewing, processing and analyzing software package for use by a trained user or healthcare professional, including radiologists specialized in prostate imaging, urologists and oncologists. These prostate MR images, when interpreted by a trained physician, may yield clinically useful information.
qp-Prostate consists of a modular platform based on a plug-in software architecture. Apparent Diffusion Coefficient (ADC) post-processing and Perfusion - Pharmacokinetics post-processing (PKM) are embedded into the platform as plug-ins to allow prostate imaging quantitative analysis.
The platform runs as a client-server model that requires a high-performance computer installed by QUIBIM inside the hospital or medical clinic network. The server communicates with the Picture Archiving and Communication System (PACS) through DICOM protocol, gp-Prostate is accessible through the web browser (Google Chrome or Mozilla Firefox) of any standard "off-the-shelf" computer connected to the hospital/center network.
The main features of the software are:
- 1. Query/Retrieve interaction with PACS;
- 2. Apparent Diffusion Coefficient (ADC) post-processing (MR imaging);
- 3. Perfusion Pharmacokinetics (PKM) post-processing (MR imaging);
- 4. DICOM viewer; and
- 5. Structured reporting.
The software provides MR imaging analysis plug-ins to objectively measure different functional properties in prostate images:
1) The software can communicate with any Picture Archiving Communications System (PACS) through the DICOM standard. This communication includes standard Query/Retrieve DICOM operations in order to receive prostate MR image studies in qp-Prostate. Once the complete prostate MR study has been received, qp-Prostate will check the available sequences. For a successful launch of qp-Prostate, the study must include at least:
-the T2-weighted MR sequence and the Diffusion Weighted Imaging (DWI) or -the T2-weighted MR sequence and the Dynamic Contrast Enhanced (DCE) or
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- -the T2-weighted MR sequence, the DWI and the DCE.
2) If the DWI sequence is available and it complies with the required acquisition protocol, the Diffusion ADC analysis will be launched. Imaging processing steps, such as spatial smoothing and motion correction between the different b-values are proposed before applying the monoexponential model for ADC calculation. The Diffusion-ADC post-processing and analysis plugin for prostate MR imaging calculates a parameter related to the degree of water molecules mobility in tissues. The Apparent Diffusion Coefficient (ADC)[s/mm²] is given in order to evaluate the diffusion signal decay in regions. The ADC is calculated by applying the mono-exponential model of the diffusion signal, assessing the signal attenuation that occurs at least at two different b values. The final result of the DWI workflow includes ADC parametric maps, which represent the ADC value for each voxel of the image.
3) If the DCE sequence is available and it complies with the required acquisition protocol, the Perfusion analysis will be launched. Imaging processing steps, such as spatial smoothing, motion correction and Arterial Input Function (AIF) selection are proposed before applying the standard Tofts model with one input and two compartments for Kirans, kep and ve calculation. The Perfusion - Pharmacokinetics post-processing and analysis plugin for prostate MR imaging calculates parameters related to the vascular environment of the tissue, which are based on the quantitative pharmacokinetic assessment of Dynamic Contrast-Enhanced Magnetic Resonance Images (DCE-MRI). The transfer constant (K(fans)[min']), extraction rate (kep) [min-1] and extra-vascular and extra-cellular volume (ve) [%] are given in order to evaluate the leakage of injected contrast media from intra-vascular to interstitial space. The final results of the DCE workflow include Ktrans, kep and ve parametric maps, which represent perfusion for each voxel of the image.
4) The software includes a DICOM viewer to improve the review process of a single study and its related image sequences. The viewer has basic image manipulation and segmentation capabilities and advanced segmentation ones for prostate.
5) The software includes a Structured Reporting option for filling a standard PI-RADS® v2.1 template [Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. American College of Radiology].
qp-Prostate does not perform a diagnostic function, but instead allows the radiologist to visualize and analyze DICOM data with the possibility of verifying the quality and editing the output of each step of the process.
## COMPARISON TO PREDICATE DEVICE
The subject and predicate devices are based on the following same technological elements:
- Both devices work with DICOM 3.0 images retrieved from PACS systems, and can . export data back to those PACS systems.
- Both have integrated slice views with MPR, segmentation and ROI tools, and . image filtering.
- . Both devices perform study management and structured report generation.
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- Both uniquely identify users and maintain audit trails of user actions. ●
- . Both have a modular architecture for analysis tools and include modules for perfusion and diffusion for MR cases.
The following technological differences exist between the subject and predicate devices:
- Olea Sphere can import and export to the local file system, whereas qp-Prostate ● does not.
- . Olea Sphere can perform perfusion calculations for both MR and CT, whereas qp-Prostate only does so for MR data.
- . qp-Prostate software only includes two analysis modules for perfusion (Perfusion – Pharmacokinetics, PKM) and diffusion (Diffusion - ADC) calculations, whereas Olea Sphere includes more modules.
- qp-Prostate software is indicated only for prostate MR images whereas OLEA covers more anatomical areas, including prostate.
Taken individually and together, these differences do not affect the substantial equivalence; both products are still using the same technological basis. Software validation and verification testing, as well as performance data, confirm that the qp-Prostate functionalities do not raise different questions of safety or effectiveness compared to the predicate, and support substantial equivalence.
A table comparing the key features of the subject and predicate devices is provided below.
| Table 1. Comparison of key features of the subject (qp-Prostate, QUIBIM) and the predicate<br>device (OLEA Sphere 3.0, OLEA Medical) | | |
|--------------------------------------------------------------------------------------------------------------------------------------|-------------|------------------|
| FEATURE | qp-Prostate | Olea Sphere V3.0 |
| FEATURE | qp-Prostate | Olea Sphere V3.0<br>K152602 |
|-----------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| REGULATORY DATA | | |
| Regulatory Class | II | II |
| Regulation name | Picture archiving and<br>communications<br>system (PACS) | Picture archiving and<br>communications system (PACS) |
| Regulation number | 21 CFR 892.2050 | 21 CFR 892.2050 |
| Classification Panel | Radiology | Radiology |
| Product code | LLZ | LLZ |
| Manufacturer | QUIBIM | Olea Medical |
| FDA clearance | - | K152602 |
| INTENDED USE | | |
| Indications for use | qp-Prostate is an image processing<br>software package to be used by<br>trained professionals, including | Olea Sphere V3.0 is an image<br>processing software package to<br>be used by trained professionals |
| FEATURE | qp-Prostate | Olea Sphere V3.0<br>K152602 |
| | radiologists specialized in prostate<br>imaging, urologists and oncologists.<br>The software runs on a standard<br>"off-the-shelf" workstation and can<br>be used to perform image viewing,<br>processing and analysis of prostate<br>MR images. Data and images are<br>acquired through DICOM compliant<br>imaging devices and modalities.<br>Patient management decisions<br>should not be based solely on the<br>results of qp-Prostate. qp-Prostate<br>does not perform a diagnostic<br>function, but instead allows the<br>users to visualize and analyze<br>DICOM data. | including, but not limited to,<br>physicians and medical<br>technicians. The software runs on<br>a standard "off-the-shelf"<br>workstation and can be used to<br>perform image viewing,<br>processing, image collage and<br>analysis of medical images. Data<br>and images are acquired through<br>DICOM compliant imaging<br>devices and modalities. |
| CHARACTERISTICS | | |
| Supported image<br>format | DICOM 3.0 | DICOM 3.0 |
| Type of scans | MR | MR, CT |
| Data import | PACS | PACS or file system |
| Data export | PACS | PACS or file system |
| Image loading and<br>saving | Yes | Yes |
| Integrated slice viewer | Yes | Yes |
| Multi-planar | Yes | Yes |
| MPR/3D | Yes | Yes |
| Segmentation tools | Yes | Yes |
| ROI tools | Yes | Yes |
| Image Processing | Yes | Yes |
| Study Management<br>tools | Yes | Yes |
| Structured report<br>generation | Yes | Yes |
| License Management<br>System | Yes | Yes |
| Unique user log-in and<br>password | Yes | Yes |
| User audit trails | Yes | Yes |
| Modular analysis plug-<br>in | Yes | Yes |
| FEATURE | qp-Prostate | Olea Sphere V3.0<br>K152602 |
| Intended use<br>environment | Hospitals / imaging centers or<br>clinics | Hospitals / imaging centers or<br>clinics |
| Intended user | Radiologists specialized in<br>prostate imaging, urologists and<br>oncologists. | Trained professionals including<br>but not limited to<br>physicians and medical<br>technicians |
| Intended patient<br>population | Any patient for which PACS MR<br>prostate data exists. | Any patient for which PACS data<br>exists. |
| Image post-processing<br>and analysis plugins | Not included | DCE (for MR Imaging) Kinetics -<br>semi quantitative maps<br>(AUC, Peak enhancement map,<br>Peak percentage enhancement,<br>Time to maximum enhancement,<br>Washin, Washout, Relative<br>washout,<br>Signal Enhancement Ratio) |
| | DCE (for prostate MR<br>imaging) Perfusion –<br>Pharmacokinetics<br>Modelling<br>( $K^{trans}$ [min-1], $k_{ep}$ [min-1], $v_e$ [%]) | DCE (for MR imaging) Permeability<br>– Quantitative parameter maps<br>( $K^{trans}$ , $k_{ep}$ , $V_p$ , $v_e$ , signal to<br>concentration time curve<br>conversion with fixed blood<br>and tissue T1 values) |
| | Not included | DWI (for MR Imaging) Intra - Voxel<br>Incoherent Motion IVIM<br>(ADC, D, D*, f) |
| | DWI (for MR Imaging) Apparent<br>Diffusion<br>Coefficient (ADC [mm2/s]) | DWI (for MR Imaging) Apparent<br>Diffusion Coefficient<br>(ADC) |
| | Not included | Yes (T1 and T2 Mapping) |
| | Not included | Metabolic (hepatic fat fraction FF) |
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Thus, qp-Prostate device is substantially equivalent to the Olea Sphere V3.0 (K152602) from OLEA Medical.
## PERFORMANČE DATA
## PERFORMANCE TESTING - BENCH
The following bench testing was performed on the subject device per the following draft guidance: "Technical Performance Assessment of Quantitative Imaging in Device Premarket Submissions" (April 19, 2019) for the unitary validation of the different parts that constitute qp
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Prostate. qp-Prostate is aimed for diffusion and perfusion analysis of prostate MR cases, providing quantitative information useful to assist the professional in completing the prostate structured report template.
One of tests is the analysis of digital reference objects (DROs) proposed by QIBA, available for DWI and DCE, considered as ground truth. For both Perfusion-Pharmacokinetics (PKM) and Diffusion-ADC analysis modules, DROs, including presence and absence of noise modeling, are used for technical performance evaluation.
| Modules | | |
|----------------------------------------------------|---------------------------------------------------------------------------|------------------------------------------------------------------------------------|
| qp-Prostate<br>functionality | Test type | Dataset |
| Diffusion - ADC<br>analysis module | Digital Reference<br>Object Analysis<br>(Diffusion - ADC) | QIBA's Diffusion<br>Weighted Imaging<br>(DWI) Digital<br>Reference Object<br>(DRO) |
| Perfusion -<br>Pharmacokinetics<br>analysis module | Digital Reference<br>Object Analysis<br>(Perfusion –<br>Pharmacokinetics) | QIBA's Dynamic<br>Contrast-Enhanced<br>(DCE) MR perfusion<br>DRO |
#### Table 2. qp-Prostate's Performance Bench Testing for Diffusion and Perfusion Analysis Modules
# PERFORMANCE TESTING - CLINICAL
A dataset of prostate clinical cases was used for the validation of the algorithms integrated in qp-Prostate v1.0.0 such as Spatial Smoothing algorithm, Registration algorithm, Automated Prostate Segmentation algorithm, Motion Correction algorithm and automated AIF selection algorithm.
The other assessment is the comparison against the predicate device (OLEA Sphere, v3.0, K152602), using 157 clinical cases of prostate MRI. The dataset includes cases from different three major MRI vendors: Siemens, GE and Philips, magnetic field of 3T and 1.5T cases and different technical parameters that make up the broad spectrum of cases allowed in our recommended protocol (T2w + DWI + DCE).
## Table 3. qp-Prostate's Performance Clinical Testing and Comparison with the Predicate Device
| qp-Prostate<br>functionality | Test type | Dataset |
|--------------------------------|-----------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------|
| Motion Correction<br>algorithm | Performance<br>testing with<br>prostate MR<br>cases | 155 DCE-MR and DWI-MR<br>prostate sequences acquired form<br>155 different patients in different<br>machines with multiple acquisition<br>protocols |
| Registration algorithm | Performance<br>testing with | 112 T2-Weighted MR, DCE-MR<br>and 108 DWI-MR prostate<br>sequences acquired from different |
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| | prostate MR | patients in different machines with |
|--------------------------------------------------------------------------|--------------------------------------|-------------------------------------|
| | cases | multiple acquisition parameters |
| Spatial Smoothing<br>algorithm | | 51 transverse T2-weighted, DCE- |
| | Performance | MR and DWI-MR prostate |
| | testing with | sequences acquired from 51 |
| | prostate MR | different patients in different |
| | cases | machines with multiple acquisition |
| | | protocols |
| AIF selection<br>algorithm | Performance | 242 DCE-MR prostate sequences |
| | testing with | acquired from 242 different |
| | prostate MR | patients in different machines with |
| | cases | multiple acquisition protocols |
| Prostate<br>Segmentation<br>algorithm | Performance | 243 transverse T2-weighted MR |
| | testing with<br>prostate MR<br>cases | prostate sequences acquired from |
| | | 243 different patients in different |
| | | machines with multiple acquisition |
| | | protocols. |
| Comparison to the<br>Predicate Device<br>(OLEA Sphere, v3.0,<br>K152602) | | 157 T2-weighted MR, DCE-MR |
| | Comparison to | and 141 DWI-MR prostate |
| | predicate | sequences acquired form different |
| | device | patients in different machines with |
| | | multiple acquisition protocols |
# SOFTWARE VERIFICATION & VALIDATION
gp-Prostate software was developed according to FDA recognized consensus standards for software development. Software verification and validation was performed following V&V plans and protocols verifying that product specifications were met.
The tests results demonstrate that qp-Prostate functioned as intended, is acceptable for clinical use, and is as safe and effective as its predicate device, without introducing new questions of safety and efficacy.
## CONFORMANCE STANDARDS
The qp-Prostate complies with the following FDA recognized consensus standards:
- ISO 62304:2006/A1:2016 Medical device software - Software life cycle processes
- ISO 14971 Medical devices Applications of risk management to medical devices ●
- ISO 82304:2016 Health software Part 1: General requirements for product safety ●
- IEC 60601-1 Medical electrical equipment -- Part 1-2: General requirements for basic ● safety and essential performance -- Collateral Standard: Electromagnetic disturbances -- Requirements and tests
- . IEC 62366 Medical devices - Part 1: Application of usability engineering to medical devices
- ISO 80002 Medical device software Part 1: Guidance on the application of ISO 14971 ● to medical device software
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In addition, the device also complies with the following consensus standards:
- . ISO 13485 Medical devices — Quality management systems — Requirements for regulatory purposes
## CONCLUSIONS
qp-Prostate is as safe and effective as the Olea Sphere v3.0. qp-Prostate has the same intended uses and similar indications, technological characteristics, and principles of operation as its predicate device. In addition, the minor technological differences between qp -Prostate and its predicate device raise no new issues of safety or effectiveness. Performance data demonstrate that qp-Prostate is as safe and effective as the OLEA Sphere v3.0. Thus, gp-Prostate is substantially equivalent.
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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.