Performed as intended compared to ground-truth contours
—
—
90 Cardiac T1 Mapping MRI short axis (SAX) scans from 16 studies
—
Indications for Use
Arterys MICA software is a medical diagnostic application that displays, processes, stores, and transfers DICOM and non-DICOM medical data. It provides the capability to store images and patient information, and perform filtering, digital manipulation, and quantitative measurements. The client software is designed to run on standard personal and business computers and on monitors/screens that meet appropriate technical specifications for image diagnosis. Arterys MICA includes an optional Cardio AI module which is used to analyze the heart and its major vessels using multi-slice, multi-phase, and velocity-encoded cardiovascular magnetic resonance (MR) imges. It provides clinically relevant and reproducible, quantitative data, and has been tested and validated on MR images acquired from both 1.5T and 3.0 T MR Scanners. Arterys MICA includes an optional Oncology AI module which provides analytical tools to help the user assess and document changes in morphological activity at diagnostic and therapy follow-up examinations. It is a tool used to support the oncological workflow by helping the user confirm the absence of lesions, including evaluation, quantification, follow-up, and documentation of any such lesions. Arterys MICA software is intended to be used as a support tool by trained healthcare professionals to aid in diagnosis. It is intended to provide image and related information that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
Device Story
Arterys MICA is a cloud-hosted medical image management and processing application. It ingests DICOM/non-DICOM images (CT, MR) from PACS or scanners. The system features a modular architecture including a viewer, Cardio AI, and Oncology AI modules. Deep learning algorithms automate segmentation and landmark identification, reducing manual effort. The Cardio AI module quantifies blood flow, ventricular function, perfusion, delayed enhancement, and parametric mapping (T1, T2, T2*). The Oncology AI module assists in lesion assessment and documentation. Clinicians access the platform via web browsers on standard computers. AI outputs are presented on-screen for user review, editing, and confirmation. The device does not generate diagnoses; it serves as a support tool for trained professionals to render findings. Benefits include time savings and reduction of error-prone manual tasks in clinical workflows.
Clinical Evidence
Bench testing only. Software verification and validation performed per IEC 62304 and ISO 14971. T1/T2 values compared against OEM vendor-generated inline maps; differences were within predefined accuracy requirements (30 ms for T1, 4 ms for T2). Deep learning model for endocardial/epicardial contours validated on 90 Cardiac T1 Mapping MRI short-axis scans from 16 studies, demonstrating performance consistent with ground-truth contours.
Technological Characteristics
Cloud-hosted software (AWS). Modular architecture. Deep learning algorithms for segmentation and landmark identification. Compatible with standard web browsers. Supports DICOM/non-DICOM data. Validated for 1.5T and 3.0T MR scanners. Complies with IEC 62304 and ISO 14971 standards.
Indications for Use
Indicated for trained healthcare professionals to aid in diagnosis by displaying, processing, storing, and transferring DICOM/non-DICOM medical data. Includes optional modules for analyzing cardiovascular MR images (multi-slice, multi-phase, velocity-encoded) and oncological workflow support (lesion evaluation, quantification, and follow-up).
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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March 14, 2022
Image /page/0/Picture/1 description: The image contains 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.
Arterys Inc. % Marina Codari Head of Clinical Evidence 51 Federal Street. Suite 305 SAN FRANCISCO CA 94107
Re: K203744
Trade/Device Name: Arterys MICA Regulation Number: 21 CFR 892.2050 Regulation Name: Medical image management and processing system Regulatory Class: Class II Product Code: QIH, LLZ Dated: February 8, 2022 Received: February 11, 2022
Dear Marina Codari:
We have reviewed your Section 510(k) premarket notification of intent to market the device referenced above and have determined the device is substantially equivalent (for the indications for use stated in the enclosure) to legally marketed predicate devices marketed in interstate commerce prior to May 28, 1976, the enactment date of the Medical Device Amendments, or to devices that have been reclassified in accordance with the provisions of the Federal Food, Drug, and Cosmetic Act (Act) that do not require approval of a premarket approval application (PMA). You may, therefore, market the device, subject to the general controls provisions of the Act. Although this letter refers to your product as a device, please be aware that some cleared products may instead be combination products. The 510(k) Premarket Notification Database located at https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm identifies combination product submissions. The general controls provisions of the Act include requirements for annual registration, listing of devices, good manufacturing practice, labeling, and prohibitions against misbranding and adulteration. Please note: CDRH does not evaluate information related to contract liability warranties. We remind you, however, that device labeling must be truthful and not misleading.
If your device is classified (see above) into either class II (Special Controls) or class III (PMA), it may be subject to additional controls. Existing major regulations affecting your device can be found in the Code of Federal Regulations, Title 21, Parts 800 to 898. In addition, FDA may publish further announcements concerning your device in the Federal Register.
Please be advised that FDA's issuance of a substantial equivalence determination does not mean that FDA has made a determination that your device complies with other requirements of the Act or any Federal statutes and regulations administered by other Federal agencies. You must comply with all the Act's requirements, including, but not limited to: registration and listing (21 CFR Part 807); labeling (21 CFR Part 801); medical device reporting of medical device-related adverse events) (21 CFR 803) for
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devices or postmarketing safety reporting (21 CFR 4, Subpart B) for combination products (see https://www.fda.gov/combination-products/guidance-regulatory-information/postmarketing-safety-reportingcombination-products); good manufacturing practice requirements as set forth in the quality systems (QS) regulation (21 CFR Part 820) for devices or current good manufacturing practices (21 CFR 4, Subpart A) for combination products; and, if applicable, the electronic product radiation control provisions (Sections 531-542 of the Act); 21 CFR 1000-1050.
Also, please note the regulation entitled, "Misbranding by reference to premarket notification" (21 CFR Part 807.97). For questions regarding the reporting of adverse events under the MDR regulation (21 CFR Part 803), please go to https://www.fda.gov/medical-device-safety/medical-device-reportingmdr-how-report-medical-device-problems.
For comprehensive regulatory information about 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,
Laurel Burk, Ph.D. Assistant Director Diagnostic X-ray Systems Team 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) K203744
Device Name Arterys MICA
#### Indications for Use (Describe)
Arterys MICA software is a medical diagnostic application that displays, processes, stores, and transfers DICOM and non-DICOM medical data. It provides the capability to store images and patient information, and perform filtering, digital manipulation, and quantitative measurements. The client software is designed to run on standard personal and business computers and on monitors/screens that meet appropriate technical specifications for image diagnosis.
Arterys MICA includes an optional Cardio Al module which is used to analyze the heart and its major vessels using multi-slice, multi-phase, and velocity-encoded cardiovascular magnetic resonance (MR) imges. It provides clinically relevant and reproducible, quantitative data, and has been tested and validated on MR images acquired from both 1.5T and 3.0 T MR Scanners.
Arterys MICA includes an optional Oncology AI module which provides analytical tools to help the user assess and document changes in morphological activity at diagnostic and therapy follow-up examinations. It is a tool used to support the oncological workflow by helping the user confirm the absence of lesions, including evaluation, quantification, follow-up, and documentation of any such lesions.
Arterys MICA software is intended to be used as a support tool by trained healthcare professionals to aid in diagnosis. It is intended to provide image and related information that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
| Type of Use (Select one or both, as applicable) | |
|---------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------|
| <div> <span> Prescription Use (Part 21 CFR 801 Subpart D) </span> </div> | <div> <span> Over-The-Counter Use (21 CFR 801 Subpart C) </span> </div> |
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# Traditional 510(k) Premarket Notification
# for Arterys® MICA
## K203744/S002
Arterys Inc. 2100 Fillmore Street #100, San Francisco, CA 94115, U.S.A
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## Section 5. 510(k) Summary
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### 510(k) Summary
#### 1. General Information
Date Prepared: December 17, 2020 Date Updated: March 08, 2022
#### Submitter Information
| Company Name | Arterys Inc. |
|---------------------|--------------------------------------------------------------|
| Company Address | 2100 Fillmore Street #100, San<br>Francisco, CA 94115, U.S.A |
| Contact Person | John Axerio-Cilies<br>CEO and CTO |
| Contact Information | Email: regulatory@arterys.com<br>Phone: 1 (650) 391-7111 |
#### Proposed Device
| Proprietary Name | Arterys® MICA |
|-------------------|----------------------------------------------------------------|
| Common Name | Medical image processing software |
| Model Number | AMM7 |
| Regulation Number | 21 CFR 892.2050 Medical image management and processing system |
| Product Code | QIH/LLZ |
| Regulatory Class | II |
#### Predicate Device
| Predicate Device | Arterys® MICA, K192437<br>Product Code QIH/LLZ |
|------------------|------------------------------------------------|
|------------------|------------------------------------------------|
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#### 2. Device Description
Arterys MICA, already cleared as per the predicate, is a dedicated software application used as a Digital Imaging and Communications in Medicine (DICOM) and non-DICOM information and data management system. Pre-existing DICOM images, such as CT or MR, are uploaded into Arterys MICA from a PACS or a scanner. Arterys MICA is completely hosted in the cloud and is accessed using a compatible web browser by navigating to the following https://app.arterys.com. Cloud servers are provided by Amazon Web Services (AWS) and service is accessible globally.
The Viewer AI application of Arterys MICA is designed around a modular architecture of separate components that make up a basic image viewer. These include the Studylist, from which studies are selected and opened, the image display (2D, 3D, MIP, etc), view synchronization, metadata information, and various navigational, measurement, and other action tools.
Functionality provided by the Viewer AI is extended by the additional Cardio AI and Oncology AI application modules which add support for specific clinical workflows:
- Cardiac Workflow Module: Evaluates multi-slice and multi-phase velocity-encoded . cardiovascular magnetic resonance (MR) images to quantify blood flow and ventricular function. In addition, perfusion and delayed enhancement datasets are analyzed and quantified, and for parametric mapping, T1, T2, and T2* values are obtained to assess tissue changes in the myocardium, as well as ECV calculations.
- Arterys MICA includes an optional Oncology AI module which provides analytical tools ● to help the user assess and document changes in morphological activity at diagnostic and therapy follow-up examinations. It is a tool used to support the oncological workflow by helping the user confirm the absence or presence of lesions, including evaluation, quantification, follow-up, and documentation of any such lesions.
Arterys MICA uses many deep learning algorithms to reduce many tedious, time-consuming manual steps, such as segmentation, landmark identification, etc. The results of these AI models are available on-screen to the user for further review and editing. The software does not perform any functions that could not be accomplished by a trained user with a manual method; the purpose of the automation is to save time and automate potential error-prone manual tasks, while allowing the results to be reviewed as per the normal clinical workflow.
NOTE: The clinician retains the ultimate responsibility for making the pertinent diagnosis based on their standard practices and visual comparison of images. Artervs MICA software is a complement to these standard procedures.
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#### 3. Indications for Use
Indications for Use Statement for Arterys MICA is as follows:
Artervs® MICA software is a medical diagnostic application that displays, processes, stores, and transfers DICOM and non-DICOM medical data. It provides the capability to store images and patient information, and perform filtering, digital manipulation, and quantitative measurements. The client software is designed to run on standard personal and business computers and on monitors/screens that meet appropriate technical specifications for image diagnosis.
Artervs MICA includes an optional Cardio AI module which is used to analyze the heart its major vessels using multi-slice, multi-phase, and velocity-encoded and cardiovascular MR images. It provides clinically relevant and reproducible, quantitative data, and has been tested and validated on MR images acquired from both 1.5T and 3.0 T MR Scanners.
Arterys MICA includes an optional Oncology AI module which provides analytical tools to help the user assess and document changes in morphological activity at diagnostic and therapy follow-up examinations. It is a tool used to support the oncological workflow by helping the user confirm the absence or presence of lesions. including evaluation, quantification, follow-up, and documentation of any such lesions
Arterys MICA software is intended to be used as a support tool by trained healthcare professionals to aid in diagnosis. It is intended to provide image and related information that is interpreted by a trained professional to render findings and/or diagnosis, but it does not directly generate any diagnosis or potential findings.
#### 4. Predicate Device Comparison
The indications for use of the proposed device Arterys MICA is similar to the predicate device. They are intended to be used as a support tool by trained healthcare professionals to aid in diagnosis. The devices are intended to provide image and related information that is interpreted by a trained professional to render findings and/or diagnosis.
The indications for use of the proposed device consists of the indications for use statement of the predicate, Arterys MICA (K192437). The differences in the added indications for use are mainly due to duplication with other phrases in the existing Arterys MICA (K192437) indications for use statement and don't raise different questions of safety and effectiveness.
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The ability of Viewer AI to display annotations (segmentation, measurements, etc.) was expanded to integrate similar outputs of 3rd party models (bounding boxes, heatmaps, etc.). The safety and effectiveness of the 3rd party model is covered under the original manufacturer's regulatory clearance: Arterys only displays the simple output.
The cardiac MRI T1 and T2 workflows were added to the proposed Cardio AI product. The workflows and feature lists are in alignment with the SCMR (Society for Cardiovascular Magnetic Resonance) Post Processing Consensus Statement (https://scmr.org/page/guidelines). The workflows and calculations are based on published industry technical standards and peer-reviewed publications, resulting in no different questions of safety and effectiveness.
The Artervs MICA software has the similar technological characteristics as the predicate device and has the same uses and applications as the predicate device. Differences include minor incremental updates to some of the existing software features for user experience improvements. These software changes do not impact safety or efficacy of the device.
#### 5. Performance Data
Safety and performance of Artervs MICA has been evaluated and verified in accordance with software specifications and applicable performance standards through software verification and validation testing. The software verification and validation activities were performed as per IEC 62304:2006/AC:2015- Medical device software - Software life cycle processes and ISO 14971:2019 Medical devices -- Application of risk management to medical devices, in addition to the FDA Guidance documents Guidance for the Content of Premarket Submissions for Software Contained in Medical Devices and Content of Premarket Submission for Management of Cybersecurity in Medical Devices.
Hundreds of software verification and validation tests were repeatedly conducted throughout the software development effort, with any defects logged and traced to the failed tests. Defects were then fixed or were assessed for approval in the released product.
In our validation assessment, we compared the average T1 and T2 values obtained with the Arterys software in delineated regions of interest (ROIs) to the average intensity value obtained in a similar ROI delineated in OEM vendor generated inline maps. The results showed that the difference between calculated and expected T1 and T2 values were within predefined accuracy requirements (i.e., 30 ms and 4 ms for T1 and T2 values, respectively). T1 and T2 values derived with the Arterys software depends on the ROI selected by the user.
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In the T1 workflow, endocardial and epicardial contours can be generated using a deep learning model. The generated contours are user-modifiable. These contours are used to derive Global T1 values. A standalone performance assessment was performed on 90 Cardiac T1 Mapping MRI short axis (SAX) scans from 16 studies. As a result, the device performed as intended compared to ground-truth contours.
#### 6. Conclusion
Based on the information submitted in this premarket notification, and based on the indications for use, technological characteristics and performance testing, Arterys MICA raises no new or different questions of safety and effectiveness and is substantially equivalent to the predicate device in terms of safety, efficacy and performance.
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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.