cvi42 Auto Imaging Software Application
K213998Circle Cardiovascular Imaging Inc · cleared 2022-07-28 · product code QIH · Radiology
Premarket evidence — what FDA accepted
source quote (p.5)
“cvi42 Auto is a software as a medical device (SaMD) that is intended for evaluating CT and MR images of the cardiovascular system.”
source quote (p.5)
“cvi42 Auto uses machine learning techniques to aid in semi-automatic contouring of regions of interest of cardiac magnetic resonance (MR) or computed tomography (CT) images as follows: 1. Cardiac Function: semi-automatic contouring of the four heart chambers (including left ventricle, left atrium, right ventricle, right atrium) in MR images. 2. Calcium Assessment: using pixel intensity technique, identify calcified plaque in major coronary arteries in non-contrast enhanced CT images. 3. Coronary Analysis: semi-automatic placement of centerline in coronary vessels to visualize the coronary arteries and assess stenosis in non-contrast enhanced CT images.”
source quote (p.5)
“The data used to train these machine learning algorithms were sourced from multiple clinical sites from urban centers and from different countries. When selecting data for training, the importance of model generalization was considered and data was selected such that a good distribution of patient demographics, scanner, and image parameters were represented. The separation into training versus validation datasets is made on the study level to ensure no overlap between the two sets. As such, different scans from the same study were not split between the training and validation datasets. None of the cases used for model validation were used for training the machine learning models.”
source quote (p.11)
“Verification and validation testing were conducted to ensure specifications and performance of the device and were performed per 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”.”
Validation studies (1)
Retrospective clinical
n=235 images
endpoints: classification accuracy defined by true positives (TP), true negatives (TN), false positives (FP), and false negatives (FN); Mean volume prediction error (Mean Absolute Error, or MAE); centerline quality and performance (based on TP and FN); success rate for relevant masks
standards: ISO 13485:2016, IEC 62304:2015, ISO 14971:2019, NEMA 3.1-3.20 (2016) DICOM standards
Reported performance (0 observations)
FDA source did not state a quantitative performance metric — non-reporting is itself the signal.
Each value carries its own analysis unit and task — never compare or pool across devices. Source: 510(k) summary PDF.
Predicate network
Postmarket — what happened after clearance
- re_clearance
The FDA AI/ML device list shows a newer 510(k) K242781 (decision 2024-10-15) from Circle Cardiovascular Imaging Inc. for a matching device line ("cvi42 Software Application") — a new clearance for the same line is a change event.
first seen 2026-07-08 · k_number:K242781
Recall and MAUDE counts are product-code-level (reports aren't reliably attributable to one device). Signals are descriptive observables with sources — never a judgment that the device is unsafe or drifting. Snapshot 2026-07-08.
Reimbursement — how devices like this got paid
Not yet tracked — no payment pathway indexed for this clearance (the reimbursement corpus is a growing seed set).