The RSM 1824C is a detector indicated for use in screening and diagnostic mammography. The RConsole1 is an integrated software solution indicated for use with the RSM Series detectors.
Device Story
RSM 1824C is an indirect conversion digital flat panel X-ray detector; uses CsI scintillator layer to absorb X-ray photons; converts energy to light, then to electrical signals via PIN diodes in TFT pixels; signals digitized for viewing, storage, or transmission. RConsole1 is an integrated operating console software; interfaces with X-ray generator and detector to acquire, process, and display images; supports DICOM standards for PACS integration and printing. Used in clinical settings by radiology staff. System includes synchronization units, cabling, and power components. Provides digital mammographic images for screening and diagnosis; facilitates clinical decision-making through standardized image acquisition and archival.
Clinical Evidence
Single-blinded clinical concurrence study conducted per FDA Class II Special Controls Guidance for Full Field Digital Mammography Systems. Study confirmed RSM 1824C provides images of equivalent diagnostic capability to the predicate device. No clinical data required for RConsole1 software.
Technological Characteristics
Indirect conversion detector; CsI scintillator; PIN diode/TFT array; 76 μm pixel pitch; 3,072 x 2,304 resolution. Connectivity via DICOM 3.0. Complies with AAMI ANSI ES60601-1, IEC 60601-1-2, ISO 14971, IEC 62220-1, IEC 61267, and NEMA PS 3.1-3.20.
Indications for Use
Indicated for use in screening and diagnostic mammography for patients requiring digital breast imaging.
Regulatory Classification
Identification
A full-field digital mammography system is a device intended to produce planar digital x-ray images of the entire breast. This generic type of device may include digital mammography acquisition software, full-field digital image receptor, acquisition workstation, automatic exposure control, image processing and reconstruction programs, patient and equipment supports, component parts, and accessories.
Special Controls
*Classification.* Class II (special controls). The special control for the device is FDA's guidance document entitled “Class II Special Controls Guidance Document: Full-Field Digital Mammography System.”*See* § 892.1(e) for the availability of this guidance document.
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Food and Drug Administration 10903 New Hampshire Avenue Document Control Center - WO66-G609 Silver Spring, MD 20993-0002
February 23, 2017
DRTECH Corporation % Mr. Choul-Woo Shin Vice President Suite No. 2. 3 Floor, 29, Dunchon-daero541 beon-gil, Jungwon-gu Seongnam-si, Gyeonggi-do 13230 REPUBLIC OF KOREA
Re: K162670 Trade/Device Name: RSM 1824C with RConsole1 Regulation Number: 21 CFR 892.1715 and 21 CFR 892.2050 Regulation Name: Full-field digital mammography system and Picture archiving and communications system Regulatory Class: II Product Code: MUE, LLZ Dated: January 20, 2017 Received: January 23, 2017
Dear Mr. Shin:
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 (reporting of medical device-related adverse events) (21 CFR 803); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820); and if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
{1}------------------------------------------------
If you desire specific advice for your device on our labeling regulation (21 CFR Part 801), please contact the Division of Industry and Consumer Education at its toll-free number (800) 638 2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/Resourcesfor You/Industry/default.htm. 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.
You may obtain other general information on your responsibilities under the Act from the Division of Industry and Consumer Education at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address
http://www.fda.gov/MedicalDevices/ResourcesforYou/Industry/default.htm.
Sincerely yours.
Michael D'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) K162670
Device Name RSM 1824C with RConsole1
#### Indications for Use (Describe)
The RSM 1824C is a detector indicated for use in screening and diagnostic mammography.
The RConsole1 is an integrated software solution indicated for use with the RSM Series detectors.
Type of Use (Select one or both, as applicable)
> Prescription Use (Part 21 CFR 801 Subpart D)
_ Over-The-Counter Use (21 CFR 801 Subpart C)
### PLEASE DO NOT WRITE BELOW THIS LINE - CONTINUE ON A SEPARATE PAGE IF NEEDED.
### FOR FDA USE ONLY
Concurrence of Center for Devices and Radiological Health (CDRH) (Signature)
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# 510(k) Summary
[As required by 21 CFR 807.92]
This 510(k) summary of safety and effectiveness information is prepared in accordance with 21 CFR 807.92
### 1. Date Prepared [21 CFR 807.92(a) (1)]
10/25/2016
### 2. Submitter's Information [21 CFR 807.92(a) (1)]
| • | Name of Sponsor: | DRTECH Corporation |
|---|-----------------------|------------------------------------------------------------------------------------------------------------------------|
| • | Address: | Suit No. 2, 3 Floor, 29, Dunchon-daero541 beon-gil,<br>Jungwon-gu, Seongnam-si, Gyeonggi-do 13230<br>Republic of Korea |
| • | Contact Name: | Choul-Woo Shin |
| • | Telephone No.: | + 82-31-779-7783 |
| • | Fax No.: | + 82-31-779-7790 |
| • | Email Address : | cwshin@drtech.co.kr |
| • | Registration Number: | 3005172103 |
| • | Name of Manufacturer: | Same as Sponsor |
## 3. Trade Name, Common Name, Classification [21 CFR 807.92(a) (2)]
| | Detector (RSM 1824C) | Software (Rconsole1) |
|--------------------------------|----------------------------------------------------|------------------------------------------------|
| • Trade Name | RSM 1824C with RConsloel | |
| • Common Name | Digital Flat Panel X-ray Detector | Radiological Image Processing System |
| • Classification Name | Full Field Digital, System, X-ray,<br>Mammographic | Picture archiving and communications<br>system |
| • Classification Panel | Radiology | |
| • Classification<br>Regulation | 21 CFR 892.1715 | 21 CFR 892.2050 |
| • Product Code | MUE | LLZ |
| • Device Class | II | |
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| | For Detector | For Software |
|-----------------------------|----------------------------------------------------------------------|---------------------------------------------|
| • 510(k) Number | P010025 | K152172 |
| • Applicant | HOLOGIC, INC. | DRTECH CORPORATION |
| • Trade Name | Lorad Digital Breast Imager (LDBI) | Econsole1 |
| • Classification Name | Full Field Digital, System, X-ray, Mammographic | Picture archiving and communications system |
| • Classification Panel | Radiology | |
| • Classification Regulation | 21 CFR 892.1715 | 21 CFR 892.2050 |
| • Product Code | MUE | LLZ |
| • Device Class | II | |
| • Remark | The predicate device that has been reclassified from Class III to II | |
### 4. Identification of Predicate Device(s) [21 CFR 807.92(a) (3)]
### 5. Description of the Device [21 CFR 807.92(a) (4)]
The RSM 1824C detector panel is an indirect conversion device in the form of a square plate in which the input x-ray photons are absorbed in an x-ray sensitive scintillator layer. The energy of the incoming photons generates light distribution in the scintillator laver. Light is converted to a modulated electrical signal through PIN diode within the pixel of the thin film transistor. The amplified signal is converted to a voltage signal and is then converted from an analog to digital signal which can be transmitted to a viewed image print out, transmitted to remote viewing or stored as an electronic data file for later viewing.
The RSM 1824C consists of main components such as SSU (System Synchronization Unit: RSM-SSU01, RSM-SSU02 (Code# B12160000)), LAN Cable (Code# C20050502) and POE Cable (Code# C16050700), Power Cord (Code# E00050023), Ethernet Adaptor and software CD.
The System Synchronization Units, RSM-SSU01 and RSM-SSU02, only differ in their sizes. Only one System Synchronization Unit will be provided to the customer based on their choice. Also, only one System Synchronization Unit can be connected to the one detector.
The RConsole1 is digital radiography operating console software specialized for the RSM series, a digital X-rav detector developed by DRECH Inc.
RConsloe1 provides an integrated solution for X-ray projection. It integrates with the X-ray generator and the digital detector and acquires and processes images. In addition, it complies with DICOM standards and is able to transmit and receive data with the PACS system, and print images through the DICOM printer.
### 6. Intended Use [21 CFR 807.92(a)(5)]
The RSM 1824C is a detector indicated for use in screening and diagnostic mammography.
The RConsole1 is an integrated software solution indicated for use with the RSM Series detectors.
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### 7. Technological Characteristics [21 CFR 807.92(a)(6)]
The RSM 1824C detector panel is an indirect conversion device in the form of a square plate in which the input x-ray photons are absorbed in an x-ray sensitive scintillator layer. The energy of the incoming photons generates light distribution in the scintillator layer. Light is converted to a modulated electrical signal through PIN diode within the pixel of the thin film transistor. The amplified signal is converted to a voltage signal, and then it is converted from an analog to digital signal which can be transmitted to a print-out image viewer, transmitted to remote viewing, or stored as an electronic data file for later viewing.
Based on a technical feature comparison, the subject device was found to be similar to the predicate device in regards of detector technology (CsI).
Rconsole1 is medical software. It digitalizes the signal sent from the detector and displays the x-ray image. Also, it can enter patient information, shot information, and other necessary references for convenience.
Compared with the predicate device, the technological characteristics of the proposed device, Rconsole1, are substantially equivalent to those of the predicate device. The proposed device is functionally similar to the predicate device.
| Parameter | Subject Device | Predicate Device | | Remark |
|---------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------|
| | | For Detector | For Software | |
| 510(K) Number | Unknown | P010025 | K152172 | - |
| Manufacturer | DRTECH Corporation | HOLOGIC, INC. | DRTECH Corporation | - |
| Model Name | RSM 1824C with<br>Rconsole1 | Lorad Digital Breast Imager<br>(LDBI) | Econsole1 | - |
| Classification Name | Full Field Digital, System,<br>X-ray, Mammographic | Full Field Digital, System, X-ray, Mammographic | Picture archiving and<br>communications system | same |
| Classification Panel | Radiology | | | same |
| Classification Regulation | 21 CFR 892.1715,<br>21 CFR 892.2050 | 21 CFR 892.1715 | 21 CFR 892.2050 | same |
| Product Code | MUE, LLZ | MUE | LLZ | same |
| Device Class | Class II | | | same |
| Intended Use | The RSM 1824C is a<br>detector indicated for use in<br>screening and diagnostic<br>mammography.<br>The RConsole1 is an<br>integrated software solution<br>indicated for use with the<br>RSM Series detectors. | The Lorad Digital Breast<br>Imager generates digital<br>mammographic images that<br>can be used for screening and<br>diagnosis of breast cancer.<br>The Lorad Digital Breast<br>Imager is intended to be used<br>in the same clinical<br>applications as traditional<br>screen-film mammographic<br>systems. | The Econsole1 software is<br>indicated for use in<br>general radiographic<br>images of human anatomy<br>(excluding fluoroscopic,<br>angiographic, and<br>mammographic<br>applications). | same |
| Pixel Pitch | 76 μm | 40 μm | N/A | different |
| Image Size | 233.4 x 175.1mm | 186 x 248 mm | N/A | similar |
| Materials<br>Scintillator | CsI | CsI:Tl | N/A | same |
| DQE | 50% at 1 lp/mm<br>43% at 2 lp/mm | 45% at 1 lp/mm<br>35% at 2 lp/mm<br>30% at 3 lp/mm<br>24% at 4 lp/mm | N/A | similar |
| MTF | 70% at 2 lp/mm<br>20% at 5 lp/mm | 70% at 2 lp/mm<br>30% at 5 lp/mm<br>6% at 10 lp/mm | N/A | similar |
### 8. Substantial Equivalence [21 CFR 807.92(b)]
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Image /page/6/Picture/0 description: The image shows the word "ORTECH" in blue font. The letters are capitalized and evenly spaced. There is a mouse cursor pointing at the letter "D".
| Resolution | 3,072 x 2,304 | 4,800 x 6,400 | N/A | different | |
|----------------------------|------------------------|-----------------------------------------------------------------------------------------------------------------------------|------------------------|-----------------------------------------------------------------------------------------------------------------------------|------|
| Detector Type | TFT a-Si | CCD CsI:Tl | N/A | different | |
| Acquisition<br>devices | Digital X-ray Detector | Digital X-ray Detector | Digital X-ray Detector | same | |
| | Software<br>Function | Image viewing<br>Image search<br>Image storage<br>Image annotation<br>Image measurement<br>Image processing<br>Image stitch | Not Known | Image viewing<br>Image search<br>Image storage<br>Image annotation<br>Image measurement<br>Image processing<br>Image stitch | same |
| DICOM 3.0<br>Compatibility | | Yes | Yes | Yes | same |
The predicate devices (P010025, K152172) and the subject device, RSM 1824C/Rconsole1 are equivalent in terms of the following matters:
- Intended Use
- · Technological characteristics
- · Operating principle
- · Design features
- · Image Size
- · Performance (DQE, MTF)
- · Software function
A few differences are as follows
- · Performance (Pixel Pitch, Resolution)
- Detector Type
There is no significant difference between the RSM 1824C/Rconsole1 and the predicate device that would adversely affect the use of the product. The subject device is substantially equivalent to the predicate device in design, function, materials, operational principles, intended use software function.
Even though the predicate device and the subject device differ in the pixel pitch, resolution and types of the detector, the differences are not critical in terms of the diagnostic purposes because the clinical image evaluation demonstrate that the subject devices are substantially equivalent to the predicate device.
### 9. Summary of Non-Clinical Data [21 CFR 807.92(b)(1)]
The non-clinical performance tests were performed to evaluate the Sensitometric Response(=Pixel Response), Spatial resolution - Modulation Transfer Function (MTF), Noise analysis - Noise Power Spectrum (NPS), Signal-to-noise ratio transfer - Detective Quantum Efficiency (DQE), Dynamic range, Phantom testing, Image erasure and fading, Repeated exposure testing (Ghosting), Patient radiation dose and Automatic exposure control performance.
The RSM 1824C complies with the following international and FDA-recognized consensus standards:
AAMI ANSI ES60601-1: Medical Electrical Equipment -- Part 1: General Requirements for Basic Safety And Essential Performance (IEC 60601- 1:2005, Mod)
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Image /page/7/Picture/0 description: The image shows the word "DRTECH" in blue font. The letters are capitalized and bolded. There is a small blue square above the "D" in "DRTECH". A mouse cursor is pointing at the "D".
| IEC 60601-1-2: | Medical Electrical Equipment - Part 1-2: General Requirements For Basic<br>Safety And Essential Performance - Collateral Standard: Electromagnetic<br>Compatibility - Requirements And Tests (Edition 3) |
|---------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| ISO 14971: | Medical Devices - Application of Risk Management to Medical Devices.<br>(General I (QS/RM)) |
| IEC 62220-1: | Medical electrical equipment - Characteristics of digital X-ray imaging<br>devices - Part 1: Determination of the detective quantum efficiency |
| IEC 61267: | Medical Diagnostic X-ray Equipment – Radiation Conditions for Use in<br>the Determination of Characteristics |
| NEMA PS 3.1 - 3.20: | Digital Imaging and Communications in Medicine (DICOM) Set |
Rconsole1 complies with the FDA guidance document entitled 'Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices, ' May 11, 2005
### 10. Summary of Clinical Data [21 CFR 807.92(b)(2)]
The single-blinded concurrence study conducted in compliance with CDRH's Guidance for Industry and FDA Staff - Class II Special Controls Guidance Document: Full Field Digital Mammography System) confirmed that the new x-ray detectors (RSM 1824C) provide images of equivalent diagnostic capability to the predicate device. The results of the study demonstrate substantial equivalence.
This section is not applicable to Rconsole1.
### 11. Conclusion [21 CFR 807.92(b)(3)]
The RSM 1824C/Rconsole1 is substantially equivalent to the currently marketed predicate device (Lorad Digital Breast Imager (P010025) and Econsole1 (K152172)) in terms of design, fundamental scientific technology, indications for use, safety, and effectiveness.
Substantial equivalence for detector (RSM 1824C) was demonstrated through the non-clinical performance in compliance with the requirements specified in the international and FDA recognized consensus standards, AAMI ANSI ES60601-1, IEC 60601-1-2, ISO 14971, IEC 6220-1 and NEMA PS 3.1 - 3.20. Also, substantial equivalence was demonstrated through a clinical test, which was conducted in compliance with the requirements specified in the "CDRH's Guidance for Industry and FDA Staff - Class II Special Controls Guidance Document: Full Field Digital Mammography System".
The results of these tests demonstrate that the RSM 1824C meets the acceptance criteria, and the device is adequate for its intended use. The comparison of technological characteristics, non-clinical performance data, safety testing, and clinical image concurrence data demonstrate that the RSM 1824C is substantially equivalent to the predicate devices (Lorad Digital Breast Imager).
Additionally, when compared to the predicate the device (K152172), The Rconsole1 presented in this submission has the same of the intended use, technological characteristics, performance properties and software function. Therefore, Rconsole1 is substantially equivalent to the predicate device (Econsole1).
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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.