K180106 · Dosisoft · IYE · Mar 13, 2018 · Radiology
Device Facts
Record ID
K180106
Device Name
ThinkQA
Applicant
Dosisoft
Product Code
IYE · Radiology
Decision Date
Mar 13, 2018
Decision
SESE
Submission Type
Traditional
Regulation
21 CFR 892.5050
Device Class
Class 2
Attributes
Software as a Medical Device
Indications for Use
ThinkQA is a radiation therapy dosimetry Quality Assurance (QA) device consisting of a software framework intended to contain a suite of modules to verify that radiation dose actually delivered to the patient is as intended. The Epibeam module contained in ThinkQA is intended to be used as follows: Epibeam is a standalone software tool independent of the linear accelerator, the TPS and the Record-and-Verify system. It is intended to assist in reducing the clinical risk in the delivery of radiotherapy treatments and does not alter the treatment delivery. It is to be used by a radiation oncology medical professional as a guide to provide pretreatment plan delivery verification. The software is to be used for the purposes of detecting errors in the delivery of radiation therapy prior to treatment, like corruption of the transferred plan data to the treatment unit, inappropriate multileaf collimator sequence or beam output malfunctioning. The software acquires data from the Electronic Portal Imaging Device (EPID) during a blank fraction dedicated to the pretreatment verification without the patient and subsequently processes it. The processed data is compared with data calculated by the Epibeam system. The comparison is derived on one hand, from the application of dose conversion to the EPID data and on the other hand, from the computation of a predicted dose image under ideal conditions of functioning. A gamma-index analysis is then performed according to the dose difference and distance-to-agreement criteria provided by the user. Epibeam is not a treatment planning system and cannot be used to generate radiotherapy treatment plans. It provides an independent means of checking the reliability of the dose delivery for each beam in reference to TPS data. Epibeam therefore provides an added level of treatment quality assurance, thus giving clinicians confidence especially when complex treatment techniques are employed (gantry-fixed and rotational intensity modulated radiation therapy). Epibeam is intended to support decision making in relation to the delivery of treatment plan to the patient with every clinical linear accelerators equipped with an EPID, but does not alter the existing Indications for Use of the treatment unit.
Device Story
ThinkQA (Epibeam module) is a standalone software tool for pretreatment radiotherapy quality assurance. It inputs raw EPID images acquired during a non-patient 'blank' fraction and dosimetric data from a Treatment Planning System (TPS). The device transforms these inputs by applying a dose conversion model to the EPID images and a prediction model to the TPS data to generate two absolute dose images. It compares these images using a 2D gamma-index analysis (dose difference and distance-to-agreement criteria). Used by radiation oncology professionals in a clinical setting, the output is a report with gamma agreement indices and superimposed dose profiles. This allows clinicians to detect errors like data corruption, MLC sequence issues, or beam malfunctions before treatment delivery, thereby reducing clinical risk and increasing confidence in complex treatment delivery.
Clinical Evidence
Bench testing only. The device underwent unit, integration, and system-level verification and validation testing under clinically representative conditions. All test cases met acceptance criteria, and regression testing was successfully performed. No clinical patient data was used.
Technological Characteristics
Standalone software suite. Operates by processing EPID images and TPS dosimetric data. Features include dose conversion models, predicted dose image computation, and 2D gamma-index analysis. Connectivity involves importing data from TPS and EPID systems. Software is offline, automated, and supports static, IMRT, and VMAT techniques.
Indications for Use
Indicated for radiation oncology medical professionals to perform pretreatment plan delivery verification for patients undergoing radiotherapy, including complex techniques like IMRT and VMAT, using clinical linear accelerators equipped with an EPID.
Regulatory Classification
Identification
A medical charged-particle radiation therapy system is a device that produces by acceleration high energy charged particles (e.g., electrons and protons) intended for use in radiation therapy. This generic type of device may include signal analysis and display equipment, patient and equipment supports, treatment planning computer programs, component parts, and accessories.
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March 13, 2018
Image /page/0/Picture/1 description: The image shows the logo of the U.S. Food and Drug Administration (FDA). On the left is the Department of Health & Human Services logo. To the right of that is the FDA logo, which is a blue square with the letters "FDA" in white. To the right of the blue square is the text "U.S. FOOD & DRUG ADMINISTRATION" in blue.
DOSIsoft S.A. % Mr. Luc DIOT Quality Director 45/47, avenue Carnot 94230 Cachan FRANCE
Re: K180106
Trade/Device Name: ThinkOA Regulation Number: 21 CFR 892.5050 Regulation Name: Medical charged-particle radiation therapy system Regulatory Class: II Product Code: IYE Dated: December 29, 2017 Received: January 16, 2018
Dear Mr. Diot:
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. 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); good manufacturing practice requirements as set forth in the quality systems (OS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
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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 http://www.fda.gov/MedicalDevices/Safety/ReportaProblem/default.htm for the CDRH's Office of Surveillance and Biometrics/Division of Postmarket Surveillance.
For comprehensive regulatory information about mediation-emitting products, including information about labeling regulations, please see Device Advice
(https://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/) and CDRH Learn (http://www.fda.gov/Training/CDRHLearn). 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 (http://www.fda.gov/DICE) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Michael D. O'Hara For
Robert Ochs. Ph.D. Director Division of Radiological Health Office of In Vitro Diagnostics and Radiological Health Center for Devices and Radiological Health
Enclosure
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## Indications for Use
510(k) Number (if known) K180106
Device Name ThinkQA
#### Indications for Use (Describe)
ThinkQA is a radiation therapy dosimetry Quality Assurance (QA) device consisting of a software framework intended to contain a suite of modules to verify that radiation dose actually delivered to the patient is as intended.
The Epibeam module contained in ThinkQA is intended to be used as follows:
Epibeam is a standalone software tool independent of the linear accelerator, the TPS and the Record-and-Verify system. It is intended to assist in reducing the clinical risk in the delivery of radiotherapy treatments and does not alter the treatment delivery. It is to be used by a radiation oncology medical professional as a guide to provide pretreatment plan delivery verification.
The software is to be used for the purposes of detecting errors in the delivery of radiation therapy prior to treatment, like corruption of the transferred plan data to the treatment unit, inappropriate multileaf collimator sequence or beam output malfunctioning. The software acquires data from the Electronic Portal Imaging Device (EPID) during a blank fraction dedicated to the pretreatment verification without the patient and subsequently processes it. The processed data is compared with data calculated by the Epibeam system. The comparison is derived on one hand, from the application of dose conversion to the EPID data and on the other hand, from the computation of a predicted dose image under ideal conditions of functioning. A gamma-index analysis is then performed according to the dose difference and distance-to-agreement criteria provided by the user.
Epibeam is not a treatment planning system and cannot be used to generate radiotherapy treatment plans. It provides an independent means of checking the reliability of the dose delivery for each beam in reference to TPS data.
Epibeam therefore provides an added level of treatment quality assurance, thus giving clinicians confidence especially when complex treatment techniques are employed (gantry-fixed and rotational intensity modulated radiation therapy).
Epibeam is intended to support decision making in relation to the delivery of treatment plan to the patient with every clinical linear accelerators equipped with an EPID, but does not alter the existing Indications for Use of the treatment unit.
*Type of Use (Select one or both, as applicable)*
X Prescription Use (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
#### CONTINUE ON A SEPARATE PAGE IF NEEDED.
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Image /page/4/Picture/0 description: The image shows the word "DOSI" in a bold, serif font, followed by a blue butterfly logo, and the word "soft" in a thin, sans-serif font. The word "DOSI" is in black, and the word "soft" is in gray. The butterfly logo is blue with red arrows pointing towards it.
Image /page/4/Picture/1 description: The image is a blue circular seal that says "CERTIFIED" at the top and has the number "73485" at the bottom. The letters "iSO" are in the center of the seal in a sans-serif font. There are two red arrows on either side of the letters "iSO".
# Premarket Notification 510(k) Summary
[as required bv 21 CFR 807.92]
# 510(k) Summary
#### 1. Date the Summary was prepared: 2017-12-08
#### 2. Submitter:
| Company Name: | DOSIsoft SA |
|---------------|-----------------------------------------------|
| Address: | 45-47, Avenue Carnot<br>94230 CACHAN - France |
| Phone No.: | +33 1 41 24 26 26 |
| Fax No.: | +33 1 41 24 26 28 |
| Contact Name: | Mr. Marc USZYNSKI |
#### 3. Device Information:
| Proprietary Name: | ThinkQA |
|----------------------|----------------------------------------------------------------------------------------------------|
| Trade Names: | ThinkQA, EPIbeam |
| Common Name: | Standalone software quality control system |
| Classification Name: | Medical charged-particle radiation therapy system<br>(Class II, 21 CFR 892.5050, Product Code IYF) |
#### 4. Predicate Device:
K133572 - ARIA Radiation Therapy Management - "Enhanced Portal Dosimetry gamma evaluation" feature - Varian Medical Systems, Inc.
# Executive Summary
## 5. Product Description:
ThinkQA is a modular software suite composed of the module Epibeam which is a quality assurance tool dedicated to Patient Specific QA for pretreatment verification of irradiation beams.
The EPIbeam verification module integrated to the ThinkOA software platform is a Quality Assurance tool in external beam radiation therapy, used in combination with the electronic portal imaging device (EPID) and dedicated to the irradiation beam pre-treatment verifications, particularly for IMRT and VMAT techniques.
EPIbeam principle is based on the comparison of two images expressed in terms of absolute dose: on the one hand, a RT Plan defined in the TPS is used for the acquisition of a real portal image (test image) with the EPID directly irradiated (without attenuating medium); on the same RT Plan is used to compute a theoretical portal image (reference image). Specific models and algorithms are applied to express both images in the same absolute dose terms.
The dose images obtained from the same RT Plan, one by the conversion model of the acquired raw EPID images and the other by the prediction model, can be quantitatively compared through dose difference mappings or 2D gamma-index. Both models are based on dosimetric data provided from the TPS.
## 6. Intended Use and User profiles:
ThinkQA is a modular software suite composed of the module EPIbeam which is a quality assurance tool dedicated to Patient Specific QA for pretreatment verification of irradiation beams.
The intended Use for the EPIbeam module contained in ThinkQA product is as follows:
EPIbeam is a standalone software tool independent of the linear accelerator, the TPS and the Record-and-Verify system. It is intended to assist in reducing the clinical risk in the delivery of radiotherapy treatments and does not alter the treatment delivery. It is to be used by a radiation oncology medical professional as a guide to provide pretreatment plan delivery verification.
4230 Cachan - France
+33 (0)1 41 24 26 26
+33 (0)1 41 24 26 28
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Image /page/5/Picture/0 description: The image shows the word "DOSI" in a bold, serif font, followed by a blue butterfly outline, and then the word "soft" in a thin, sans-serif font. The butterfly is positioned between the two words, acting as a visual element that connects them. The overall design is clean and modern, with a focus on typography and a simple color palette.
Image /page/5/Picture/1 description: The image is a blue and white circular logo that says "CERTIFIED" at the top and has the letters "ISO" in the center. There are two arrows on either side of the letters "ISO". At the bottom of the logo is the number "73485" with a dot on either side of the number.
The software is to be used for the purposes of detecting errors in the delivery of radiation therapy prior to treatment, like corruption of the transferred plan data to the treatment unit, inappropriate multileaf collimator sequence or beam output malfunctioning. The software acquires data from the Electronic Portal Imaging Device (EPID) during a blank fraction dedicated to the pretreatment verification without the presence of the patient and subsequently processed data is compared with data calculated by the EPIbeam system. The comparison is derived on one hand, from the application of dose conversion to the EPID data and on the other hand, from the computation of a predicted dose image under ideal conditions of functioning. A gamma-index analysis is then performed according to the dose difference and distance-to-agreement criteria provided by the user.
EPlbeam is not a treatment planning system and cannot be used to generate radiotherapy treatment plans. It provides an independent means of checking the reliability of the dose delivery for each beam in reference to TPS data.
EPIbeam therefore provides an added level of treatment quality assurance, thus giving clinicians confidence especially when complex treatment techniques are employed (gantry-fixed and rotational intensity modulated radiation therapy).
EPIbeam is intended to support decision making in relation to the delivery of treatment plan to the patient with every clinical linear accelerators equipped with an EPID, but does not alter the existing Indications for Use of the treatment unit.
## 7. Technological Characteristics Summary:
The detailed technological characteristics and the substantial equivalence discussion as included in the body of the 510(k) submission support the claim that ThinkQA and its EPIbeam module technological characteristics and indication for use are substantially equivalent to that of its predicate device ARIA Radiation Therapy Management – "Enhanced Portal Dosimetry gamma evaluation" feature – K133572.
The table below compares the device functionalities of ThinkOA / EPIbeam and Portal Dosimetry component of ARIA Radiation Therapy Management product (K133572).
| Functionality | Think QA<br>EPIbeam<br>DOSIsoft SA<br>(this submission) | Portal Dosimetry<br>Varian Medical Systems |
|---------------------------------------------------------------------------------------------------|---------------------------------------------------------|------------------------------------------------------|
| FDA Control Number | - | K133572 |
| CE Marked | Yes | Yes |
| Pretreatment check | Yes | Yes |
| Independent software | Yes | Only compatible with Varian<br>hardware and software |
| Pretreatment images | Yes | Yes |
| Algorithm for computing predicted reference<br>dose image | Yes | Yes (Eclipse TPS - PDIP) |
| Algorithm for converting acquired portal<br>image into dose image | Yes | Yes |
| Compares measured dose image to the<br>reference dose image according to gamma-<br>index analysis | Yes | Yes |
| Generates a report for the reviewer | Yes | Yes |
| Results include gamma agreement index<br>per beam | Yes | Yes |
| Results include significant statistic gamma<br>index values per beam | Yes | Yes |
| Ability to view test and reference images | Yes | Yes |
| Ability to view superimposed test/reference<br>dose profiles | Yes | Yes |
| Ability to view 2D gamma index distribution | Yes | Yes |
| Patient control database | Yes | Yes (ARIA database) |
| User defined Alert Criteria for out of<br>tolerance analysis | Yes | Yes |
4230 Cachan - France
- +33 (0)1 41 24 26 26 | +33 (0)1 41 24 26 28 |
info@dosisoft.com www.dosisoft.com
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Image /page/6/Picture/0 description: The image shows the word "DOSIsoft" with a butterfly image in between the two words. The word "DOSI" is in a bold, serif font, while the word "soft" is in a thinner, sans-serif font. The butterfly image is a simple outline of a butterfly, with a blue fill and a darker blue outline.
Image /page/6/Picture/1 description: The image is a blue and white circular logo that says "CERTIFIED ISO" in a circular pattern. The word "ISO" is in the center of the circle in a sans-serif font. There are two red arrows on either side of the word "ISO". The number "73485" is at the bottom of the circle.
| Import Approved Plan data from Treatment<br>Planning System | Yes | Yes (ARIA database) |
|-------------------------------------------------------------|--------------------|-----------------------|
| Import Portal Images from pretreatment<br>fraction | Yes | Yes |
| Analysis performed automatically offline | Yes | Yes |
| Multiple treatment techniques | Static, IMRT, VMAT | IMRT, VMAT (RapidARC) |
| EPID panel Calibration required for<br>commissioning | Yes | Yes |
| TPS results for dose data reference | Yes | Yes |
The substantial equivalence discussion sustains the claim that ThinkQA software and its EPIbeam module intended use, clinical, technical (principles of operation, functionalities and critical performances) and biological characteristics are the same as for the predicate device Portal Dosimetry component of ARIA Radiation Therapy Management product CE marked and legally marketed in the U.S. (K133572).
In summary, DOSIsoft therefore considers that, in its opinion, ThinkOA / EPIbeam is substantially equivalent and is as safe and effective as the predicate device.
## 8. Performance Testing - Bench:
ThinkQA software was submitted to performance, functional and algorithmic testing.
The results of performance, functional and algorithmic testing demonstrate that ThinkOA meets the requirements of the device, which are demonstrated to be substantially equivalent to those of the predicate device.
ThinkQA software underwent unit, integration and system tests. All test cases were documented with the results showing that acceptance criteria were met.
Validation of the system under clinically representative conditions has been performed. Results from verification and validation testing demonstrate that conformance to applicable technical design specification has been met and that safety and effectiveness have been achieved.
Regression testing was also successfully performed.
All product requirements can be traced to the test results.
#### Performance Testing Conclusions:
The conclusions of the verification and validation activities are that the safety, performances and benefit / risk ratio under normal conditions of use met device requirements.
The substantial equivalence discussion and the performance testing conclusions demonstrate that ThinkQA is substantially equivalent to and performs at least as safely and effectively as its predicate device.
+33 (0)1 41 24 26 26 | (0)1 41 24 26 28
Two short videos show you everything — or skip straight to the written tutorial if you'd rather read. You can reopen this any time from the Tutorial button in the top bar.
Part 1 — Search, results, and everyday workflows 16 min
Part 2 — Embeddings: the galaxy map 3 min
1. Search: exact and fuzzy
Type a phrase like "coronary artery calcification" into the search box. You get two kinds of results. Exact results match the literal phrase — prefix searches work ("coronary artery calcificati") but suffix searches do not. Fuzzy results match on the meaning and intent of your phrase rather than the exact words, and are sorted by relevance score. Hover over the Exact or Fuzzy badge on any row to see exactly why it matched.
Use the checkboxes above the results to narrow: SaMD keeps only software-only devices, AI / ML keeps only devices with AI.
Exact vs. fuzzy search: what's the difference?
Exact matches on the literal phrase (prefix search works, suffix does not). Fuzzy matches on the meaning and intent of the phrase rather than the exact words. Hover over the badge on any row to see why it matched.
You search "coronary artery calcification" and want only software devices with AI. What two filters do you apply?
Narrow by SaMD (software-only devices), then narrow by AI/ML (devices with AI).
2. The results table
Scroll right in the results table. The intended use is extracted for you — no need to open the PDF. The device story gives a high-level snapshot of what the device does and how it's used. The AI Performance sub-table shows each output name, acceptance criteria, observed values, and development/test dataset descriptions — the same format Innolitics uses for regulatory strategy outputs, and the fastest high-level fingerprint of an AI device. It is AI-generated but has been very reliable in practice.
Where do you find a device's intended use without opening the PDF?
Scroll right in the search results table. The intended use column is extracted for you; no need to dig into the 510(k) summary PDF.
What does the AI Performance sub-table show, and why is it useful?
Output name, acceptance criteria, observed values, development dataset description, and test dataset description. It's the same format we use for regulatory strategy output and Fast 510(k) input, and the fastest high-level fingerprint of an AI device. AI-generated but reliable in practice.
3. Judging fuzzy relevance
Fuzzy results trail off in relevance as you scroll. Use three signals to decide how far down to go: the fuzzy badge explanations, the intended use column, and whether your target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, you're past the relevant zone. A top hit with a low score (~0.4) and a stretched explanation is a hint the closest predicates are far away — the project may be headed for De Novo. Note the fuzzy search is a pattern match: it doesn't handle negation ("not") well, and hardware devices can appear — filter by SaMD/AI ML to cut them.
How do you judge how far down fuzzy search results to go?
Use the relevancy signals: the fuzzy badge explanations, the intended use column, and whether the target output (e.g., Cobb angle) still appears in the AI Performance sub-table. Once it stops appearing, results are trailing off in relevancy.
4. Device detail page: chat and citations
Click a device name to open its detail page: device facts on the left, a chat window on the right. Ask something like "Describe the training data". The answer carries little citation bubbles — click one to jump to the highlighted passage in the source PDF, so you can verify every AI answer against the document. There's also a Download PDF button for sharing.
How do you verify an AI chat answer on the device detail page?
Click the citation bubbles to jump to the relevant highlight in the source document.
Reading rule for every project: how many summaries do you read in full?
At least the three most relevant 510(k) or De Novo summaries, in full. After that, use targeted chat questions to confirm your memory quickly. The tool supports this professional habit — it doesn't replace it.
5. Side-by-side comparison
Select multiple rows in the results table (aim for under ~10), then open the PDF Viewer tab. Ask one question — it goes to all selected devices in parallel, each with citations. This is the fastest way to compare and contrast devices: training data, PCCP scope, how they handled adding new scanners, and so on.
What does the side-by-side PDF viewer mode do?
Select multiple devices, open the PDF viewer tab, and ask one question (e.g., "Describe the training data"). It queries all selected devices simultaneously with citations, so you can compare and contrast quickly.
6. Collections
With rows selected, go to the Collections tab and create a labeled collection (e.g., "Cobb Angle Project"). Reload that selection any time — before a client call, pull up the collection and ask questions across all of its devices at once.
How do you save a set of selected devices for later use?
Select the rows, go to the Collections tab, and create a labeled collection (e.g., "Cobb Angle Project"). You can reload the selection anytime and carry it into the PDF viewer and other tabs that support selections.
7. Product codes and the regulations tree
Click a product code in the results to jump to it in the regulations tree — identification text, sibling product codes, and devices you can open in a PDF viewer on the right. Click a regulation number to see its identification, special controls, and related product codes. You can also search by product code or regulation number at the top of the tree. Always read the special controls if any exist for your device — it broadens your search and sharpens pre-kickoff research.
What can you do from the regulations tree view?
Browse product codes and regulation numbers, read the identification text and special controls, browse sibling product codes, open device PDFs on the right, and search by product code or regulation number at the top of the tree.
8. Chart view
Click Show Chart and segment by regulation number (or product code) to see which regulations dominate your result set. Clicking a regulation takes you into the regulations tree. Great for spotting that most matches are, say, hardware laparoscopic devices — a cue to go back and filter.
How do you see which regulations dominate a search result set?
Click "Show Chart" and segment by Regulation Number. Clicking a regulation takes you to the regulations tree.
9. The predicate graph
Open the Predicates tab for a family-tree view of predicate relationships. Click a node to trace its parents and children; selections from search carry over pre-selected. Commonly predicated devices are worth reading — a lot of people predicated them for a reason. The visual lineage is also handy on client calls, e.g. to show how a predicate family evolved and justify why your predicate still holds.
In the predicate graph, why are commonly predicated devices worth reading?
A lot of people predicated them for a reason. Clicking a node traces parents and children, and selections from search carry over pre-selected.
10. Embeddings: the galaxy map
The Embeddings tab plots every matching document in a 2-D "galaxy map" where semantically similar devices cluster together. Hover or click clusters to explore, and let AI label the clusters for you. Embeddings beat product codes for grouping: two devices can carry different product codes (LLZ vs. QIH) yet do the same thing — the embedding captures the meaning of the intended use and device story. This is also exactly how retrieval-augmented generation (RAG) works under the hood, and it makes a great visual on client calls.
Try it yourself
Head to the search page and work through a few of these AI/ML fuzzy searches to build intuition: perivascular fat on CT · aortic valve calcification opportunistic screening on noncontrast CT · breast cancer prediction on digital pathology slides · autism detection · gestational age prediction · a hearing aid that can also detect a pulse · foundation model based analysis of ECG · large language models · penetration test. Watch how the relevance scores, intended use, and AI Performance tables tell you when results stop being meaningful.