Collaboration Live is indicated for remote console access of the Philips ultrasound system for diagnostic image viewing and review, consultation, guidance, support, and education in real time. Access must be granted by the healthcare professionals operating the ultrasound system. Compliance with the technical and operator requirements specified in the User Manual is required. It is the responsibility of the healthcare professionals at the remote client to ensure image quality, display contrast, and ambient light conditions are consistent with the generally accepted standards of the clinical application.
Device Story
Collaboration Live is a software-based communication feature integrated into Philips Diagnostic Ultrasound Systems. It enables two-way transmission of text, voice, images, and video between a local ultrasound operator and a remote healthcare professional. The system allows remote users to access ultrasound system parameters via a virtual control panel and virtual touch screen, provided access is granted by the local operator. It supports remote diagnostic review, clinical training, peer-to-peer collaboration, and service support. The device operates across Windows, iOS, Android, and Chrome platforms. Remote healthcare professionals use the output to provide clinical guidance or diagnoses. Benefits include real-time expert consultation and training regardless of physical location.
Clinical Evidence
No clinical data. Validation testing was performed under design controls (21 CFR 820.30) to demonstrate equivalency across Windows, iOS, Android, and Chrome platforms, confirming the software meets defined requirements and performance claims.
Technological Characteristics
Software-based communication feature integrated with Philips Diagnostic Ultrasound Systems. Connectivity via network for remote access. Supports Windows, iOS, Android, and Chrome platforms. Features include virtual control panel, virtual touch screen, network indicator, remote image quality monitoring, and remote user measurement tools.
Indications for Use
Indicated for remote console access of Philips ultrasound systems for diagnostic viewing, consultation, guidance, support, and education. Intended for use by healthcare professionals.
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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Philips Ultrasound, Inc. % Tamara Daniels Sr. Regulatory Affairs Manager 22100 Bothell Everett Highway BOTHELL WA 98201
September 24, 2021
# Re: K212777
Trade/Device Name: Collaboration Live Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: LLZ, IYN, IYO Dated: August 27, 2021 Received: September 1, 2021
Dear Tamara Daniels:
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/cfpmp/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 devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see
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https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about medical devices and radiation-emitting products, including information about labeling regulations, please see Device Advice (https://www.fda.gov/medicaldevices/device-advice-comprehensive-regulatory-assistance) and CDRH Learn (https://www.fda.gov/training-and-continuing-education/cdrh-learn). Additionally, you may contact the Division of Industry and Consumer Education (DICE) to ask a question about a specific regulatory topic. See the DICE website (https://www.fda.gov/medical-device-advice-comprehensive-regulatoryassistance/contact-us-division-industry-and-consumer-education-dice) for more information or contact DICE by email (DICE@fda.hhs.gov) or phone (1-800-638-2041 or 301-796-7100).
Sincerely,
Jessica Lamb
For
Thalia T. Mills. Ph.D. Director Division of Radiological Health OHT7: Office of In Vitro Diagnostics and Radiological Health Office of Product Evaluation and Quality Center for Devices and Radiological Health
Enclosure
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# Indications for Use
510(k) Number (if known) K212777
Device Name Collaboration Live
### Indications for Use (Describe)
Collaboration Live is indicated for remote console access of the Philips ultrasound system for diagnostic image viewing and review, consultation, guidance, support, and education in real time. Access must be granted by the healthcare professionals operating the ultrasound system. Compliance with the technical and operator requirements specified in the User Manual is required.
It is the responsibility of the healthcare professionals at the remote client to ensure image quality, display contrast, and ambient light conditions are consistent with the generally accepted standards of the clinical application.
| Type of Use (Select one or both, as applicable) | |
|--------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------|
| <div> <span> <input checked="true" type="checkbox"/> Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> | <div> <span> <input type="checkbox"/> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
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## 510(k) Summary
# 510(K) #: K212777
This summary of safety and effectiveness information is submitted in accordance with 21 CFR § 807.92.
### Date Prepared: September 21, 2021
| I. | Submitter | |
|-----|---------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| | Manufacturer Name and<br>Address | Philips Ultrasound, Inc.<br>22100 Bothell Everett Hwy<br>Bothell, WA 98021-8431 |
| | Contact Information | Courtney Nix<br>Senior Regulatory Affairs Specialist |
| | Secondary Contact | Tamara Daniels<br>Senior Regulatory Affairs Manager |
| II. | Device | |
| | Trade Name | Collaboration Live |
| | Common Name | System, Image Processing, Radiological |
| | Product Code;<br>Regulation Description;<br>Regulation Number | LLZ; System, Image Processing, Radiological; 21 CFR 892.2050<br>IYN; System, Imaging, Pulsed Doppler, Ultrasonic; 21 CFR 892.1550<br>IYO; System, Imaging, Pulsed Echo, Ultrasonic; 21 CFR 892.1560 |
| | Device Class | Class II |
| | Review Panel | Radiology |
| | Predicate Device | Collaboration Live – Philips Ultrasound (K201665, cleared<br>September 15, 2020) |
### III. Device Description
Collaboration Live is software-based communication feature integrated with Philips Diagnostic Ultrasound Systems. Collaboration Live, together with remote-client Reacts software, enables two-way communication of text, voice, image, and video information between an ultrasound local system operator and a remote healthcare professional on a Windows, iOS, Android, or Chrome platform. Collaboration Live-Reacts facilitates: 1) remote diagnostic viewing and review, 2) remote clinical training and education, 3) remote peer-topeer collaboration, and 4) remote service support. Collaboration Live functionality includes a remote-control feature in which the ultrasound local system operator may grant a qualified remote user control of the ultrasound system parameters via a virtual control panel and virtual touch screen. By meeting the technical, operator, and environment requirements specified in the User Manual, healthcare professionals, using Reacts, may provide clinical diagnoses from a remote location as they would directly on the ultrasound system.
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Image /page/4/Picture/0 description: The image shows the word "PHILIPS" in large, bold, blue letters. The font is sans-serif and the letters are evenly spaced. The background is white, which makes the blue letters stand out. The word is horizontally oriented and centered.
### IV. Indications for Use
Collaboration Live is indicated for remote console access of the Philips ultrasound system for diagnostic image viewing and review, consultation, guidance, support, and education in real time. Access must be granted by the healthcare professionals operating the ultrasound system. Compliance with the technical and operator requirements specified in the User Manual is required.
It is the responsibility of the healthcare professionals at the remote client to ensure image quality, display contrast, and ambient light conditions are consistent with the generally accepted standards of the clinical application.
### V. Comparison of Technological Characteristics with the Predicate Device
The primary purpose of the submission is to expand the compatible platforms for Collaboration Live:
- Predicate (K201665): Windows O
- O This submission: Windows, iOS, Android, and Chrome
Additional features have been introduced into the proposed software:
- Network Indicator O
- Remote Image Quality O
- Remote User Measurement O
The intended users, use environment, indications for use, and intended use are unchanged as compared to the predicate.
### VI. Validation Testing Summary
Validation testing was completed and produced under Philips's design controls procedures that that comply with 21 CFR 820.30. Validation Testing, with pre-determined criteria, was conducted to evaluate and demonstrate the equivalency of Collaboration Live used on Windows, iOS, Android, and Chrome platforms.
### VII. Conclusion
The results of the design control activities support that the software, which expands the compatible platforms and adds three features, does not raise new questions of safety or effectiveness. In addition to labeling, testing performed demonstrates that the Collaboration Live software meets the defined requirements and performance claims and are substantially equivalent to the predicate software (K201665).
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Learn the FDA Browser
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.