CardioPACS is a software device intended to be used by medical professionals, for storage, review, query/ retrieve, analysis and post processing of DICOM medical images as may be generated by echocardiography, radiology and other modalities. The device may be used as a stand-alone product, or in a networked system. CardioPACS is not intended to be used for reading of mammography images.
Device Story
CardioPACS is a software-only Picture Archiving and Communication System (PACS) for medical professionals; operates on standard workstations/servers; processes DICOM medical images from echocardiography, radiology, and other modalities. Device enables image retrieval, viewing, editing, and post-processing; supports clinical diagnosis and treatment planning. Users (physicians/technicians) interact with images via workstation interface; human intervention is required for all interpretations. Device does not contact patients or control life-sustaining equipment. Benefits include centralized image management and enhanced diagnostic workflow efficiency.
Clinical Evidence
Bench testing only. Evidence includes verification of measurement tool accuracy against cleared devices, performance speed testing in simulated network environments, and validation of retrieval/tool accuracy at clinical sites. Compliance with DICOM 3.0 and ISO 14971 risk management standards confirmed.
Technological Characteristics
Software-only DICOM-compliant PACS; operates on standard hardware platforms. Supports image viewing, editing, and digital processing. Connectivity via networked systems or standalone. Risk management per ISO 14971 (2007).
Indications for Use
Indicated for medical professionals to store, review, query, retrieve, analyze, and post-process DICOM medical images from echocardiography, radiology, and other modalities. Not indicated for reading mammography images.
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).
{0}------------------------------------------------
# 5, CardioPACS 510(k) Summary
5 2012 JUL
The following safety and effectiveness summary has been prepared pursuant to 21CFR807.87 and 21 CFR 807.92 (for 510(k) summaries).
## Submitter Information
#### LUMEDX
110 110th Ave Ne (Suite 475) Bellevue, WA 98004
| Phone: | 425 818 2326 |
|-----------------|---------------|
| Fax: | 425 450 0962 |
| Contact Person: | Chris Pearce |
| Date prepared: | Dec 29th 2011 |
### Device name and Classification
| Trade name: | HealthView CardioPACS |
|------------------------|----------------------------------------------------|
| | (version 6.0) |
| Common name: | Picture Archiving and Communications System (PACS) |
| Classification Name: | System, Image Processing, Radiological |
| Classification number: | 21CFR Part 892.2050 |
| Device Class: | Class II |
| Product Code: | LLZ (Radiology Panel) |
## Substantial Equivalence
The HealthView CardioPACS (version 6.0) device, addressed in this premarket notification, is substantially equivalent to both of the following commercially available devices:
| 510(k) # | Trade Name | Manufacturer |
|----------|---------------------------------|-----------------------------------------------------------|
| K041581 | ComPACS | MEDIMATIC, Genova, Italy |
| K102150 | syngo Dynamics<br>(version 9.0) | Siemens Medical Solutions USA Inc.<br>Ann Arbor, MI 48108 |
#### Device description
HealthView CardioPACS (version 6.0), herein after referred to as CardioPACS, is a Picture Archive Communications System. It is a "software only" medical device, to be installed on a server and workstation(s) that meet the minimum hardware requirements noted in the documentation. The hardware itself is not considered a medical device and is not part of this 510(k) submission. The device provides a trained user with the ability to find, retrieve, view,
Lumedx CardioPACS
Section 5 (amended)
1
{1}------------------------------------------------
edit and manipulate images on a workstation, to assist in the diagnosis and treatment planning of patients. The device does not contact the patient and does not control any life sustaining devices.
### Intended Use
CardioPACS is a software device intended to be used by medical professionals, for storage, review, query/ retrieve, analysis and post processing of DICOM medical images as may be generated by echocardiography, radiology and other modalities. The device may be used as a stand-alone product, or in a networked system.
CardioPACS is not intended to be used for reading of mammography images.
#### Technological characteristics of the device
CardioPACS is a software-only DICOM-compliant device that can be used on multiple hardware platforms (provided that the minimum hardware requirements are met) that allows viewing, editing, measuring and other digital image processing. This device is used by trained and qualified professionals who have ample opportunity for competent human intervention in interpreting the images and information presented to them. These technological characteristics are the same as those in the predicate devices, in terms of hardware needs, operating system requirements, overall functional characteristics, storage methodology, image generation and DICOM standards compliance. This device does not physically come in contact with a patient, nor does it control any life-sustaining devices.
### Performance Test Data
Every identified requirement has been tested and confirmed to be performing as expected (see Section 16, and provided screen shots of test files). Additionally, performance of the device has been substantiated in multiple ways: i) verifying accuracy of measurement tools using other cleared devices, ii) verifying the speed of performance in a simulated network environment, iii) validating the retrieval speed at a validation site, and iv) validating tools accuracy at a validation site.
### General Safety and Effectiveness Concerns
CardioPACS has been tested to confirm compliance with voluntary standard DICOM version 3.0. Risk management is ensured by use of the ISO14971 (2007) standard, which has been used to identify and mitigate potential hazards. These potential hazards are also individually confirmed to be controlled via verification and validation testing, and any necessary cautions and warnings are included in user documentation.
Images and text created or modified on this device are evaluated by medical professionals, thus allowing for intervention in the event of a malfunction.
Lumedx CardioPACS
#### Section 5 (amended)
2
{2}------------------------------------------------
Lumedx therefore believes this device to be as safe and effective as the predicate devices referenced above; it does not introduce new technology or new indications for use.
# Conclusions - Substantial Equivalence
This submission includes the results of a hazard analysis, and shows that.the potential hazards have been controlled. The Level of Concern of the device has been demonstrated to be "Moderate". All verification and validation testing has successfully concluded. The 510(k) premarket notification for the HealthView CardioPACS (version 6.0) contains adequate information to show substantial equivalence to the listed predicate devices.
#### Lumedx CardioPACS
.
#### Section 5 (amended)
3
{3}------------------------------------------------
Image /page/3/Picture/0 description: The image shows the logo for the U.S. Department of Health and Human Services. The logo features a stylized eagle with three stripes extending from its body, representing health, human services, and well-being. The text "DEPARTMENT OF HEALTH & HUMAN SERVICES USA" is arranged in a circular pattern around the eagle.
# DEPARTMENT OF HEALTH & HUMAN SERVICES
#### Public Health Service
Food and Drug Administration 10903 New Hampshire Avenue Document Control Room - WO66-G609 Silver Spring, MD 20993-0002
Mr. Chris Pearce Director. Regulatory Affairs LUMEDX Corporation 110 - 110th Avenue NE. Suite 475 BELLEVUE WA 98004
Re: K120514
Trade/Device Name: CardioPACS Regulation Number: 21 CFR 892.2050 Regulation Name: Picture archiving and communications system Regulatory Class: II Product Code: LLZ Dated: June 11, 2012 Received: June 14, 2012
#### Dear Mr. Pearce:
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.
If your device is classified (see above) into class II (Special Controls), it may be subject to such additional controls. Existing major regulations affecting your device can be found in Title 21, Code of Federal Regulations (CFR), Parts 800 to 895. 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 Parts 801 and 809); medical device reporting (reporting of
5 2012 JUL
{4}------------------------------------------------
medical device-related adverse events) (21 CFR 803); and good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820). This letter will allow you to begin marketing your device as described in your Section 510(k) premarket which you to began finding of substantial equivalence of your device to a legally marketed predicate device results in a classification for your device and thus, permits your device to proceed to the market.
If you desire specific advice for your device on our labeling regulation (21 CFR Parts 801 and 809), please contact the Office of In Vitro Diagnostic Device Evaluation and Safety at (301) 796-5450. 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 Small Manufacturers, International and Consumer Assistance at its toll-free number (800) 638-2041 or (301) 796-7100 or at its Internet address http://www.fda.gov/cdrh/industry/support/index.html.
Sincerely Yours,
Janine M. Morris
Acting Director Division of Radiological Devices Office of In Vitro Diagnostic Device Evaluation and Safety Center for Devices and Radiological Health
Enclosure
{5}------------------------------------------------
Image /page/5/Picture/0 description: The image shows the text "K120514 P. 1 of 1" in a handwritten style. The text appears to be a label or identifier, possibly for a document or page. The "P. 1 of 1" suggests that it is the first page of a single-page document.
# 4. Indications for Use Statement
CardioPACS is a software device intended to be used by medical professionals, for storage, review, query/ retrieve, analysis and post processing of DICOM medical images as may be generated by echocardiography, radiology and other modalities. The device may be used as a stand-alone product, or in a networked system.
CardioPACS is not intended to be used for reading of mammography images.
AND/OR Prescription Use X (Part 21 CFR 801 Subpart D)
Over-The-Counter Use (21 CFR 801 Subpart C)
(PLEASE DO NOT WRITE BELOW THIS LINE-CONTINUE ON ANOTHER PAGE IF NEEDED)
Concurrence of CDRH, Office of Device Evaluation (ODE) Page 1
(Division Bign On)
Division of Radiological Devices
Office of In Vitro Diagnostic/Device Evaluation and Safety
20514
\$10
Section 4 (Amended)
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.