AI in Cardiology
Cardiology has the second largest number of FDA-cleared AI tools after radiology, mostly for ECG, echo and imaging. AI-ECG and AI echo are the most mature. Many tools were validated in retrospective data from the US and Europe, so check how they behave in Indian patients before relying on them.
What AI does in Cardiology
Deep learning sorts long recordings and finds AF or pauses.
Examples: DeepRhythmAI, Cardiologs
A 12-lead ECG is screened for a weak heart pump, which can prompt an echo.
Examples: Anumana ECG-AI LEF, Eko
Software measures EF, strain and valve findings and drafts the report.
Examples: Us2.ai, Ultromics
Models flag ECG or echo patterns that suggest amyloidosis or hypertrophic cardiomyopathy.
Examples: Anumana, Viz Cardio Suite
AI listens to heart sounds and flags murmurs for valve disease.
Examples: Eko
An LLM trained on society guidelines answers questions with links to the source section.
Examples: ESC Chat
routine = in everyday use in many centres · early adoption = in use at some sites, evidence still building · research = studies only
Key ideas for this specialty
New to the basics? Start with the theory lessons.
Tools
AI-ECG algorithms for low EF, cardiac amyloidosis and pulmonary hypertension.
Regulatory status: Site states FDA clearance for LEF (K250652) and for amyloidosis and pulmonary hypertension algorithms (2026)
Automated echocardiography analysis and reporting from DICOM.
Regulatory status: Site states FDA 510(k) cleared and CE marked Class IIb
Digital stethoscope with AI for murmur, AF and low EF.
Regulatory status: Site states 9 FDA clearances
Detects HCM, acute coronary syndrome signs and cardiac amyloidosis on ECG and imaging.
Regulatory status: Site states more than 50 FDA-cleared algorithms across its platform
Aortic and pulmonary embolism detection and triage.
Regulatory status: Site states 30 FDA-cleared modules overall
LLM that answers questions from selected ESC guidelines, with links to sections.
Regulatory status: Not listed
A listing here is not an endorsement. Ask any vendor for its CDSCO licence and class before clinical use.
Where to learn
Hands-on diagnosis, prognosis and treatment models; needs Python and some deep learning background.
Weekly digest of new AI and medicine papers from a practising cardiologist.
Interviews with people building and testing medical AI; hosts are Raj Manrai and Andrew Beam.
India's national ethics framework; useful before you put any AI tool into a thesis or ward workflow.
Five short courses that teach clinicians how to judge AI tools; CME available for physicians.
Curated guidelines, webinars and Digital & AI Summit talks from ESC.
JACC AI reviews and a scoping review of prospectively validated cardiology AI.
Do it yourself
Download PTB-XL from PhysioNet, take the 100 Hz records and train a 1D CNN to separate normal from myocardial infarction. Report AUC on the recommended test fold.
Open the dataset or tool →Request EchoNet-Dynamic from Stanford AIMI and run the published model on a few videos. Compare its EF to the tracing in the file.
Open the dataset or tool →Use public or properly de-identified data only, and get ethics approval before any project on your own patients.
Papers worth reading
- Trustworthy implementation of artificial intelligence in cardiology: a roadmap of the European Society of Cardiology European Heart Journal, 2024
- Artificial Intelligence in Electrocardiography: From Automated Arrhythmia Detection to Predicting Hidden Cardiovascular Disease Cureus, 2025
- Artificial intelligence-enhanced electrocardiography in cardiovascular disease management Nature Reviews Cardiology, 2021
- Artificial intelligence for the electrocardiogram Nature Medicine, 2019
Societies and guidance
Curated AI resources and JACC: Advances special issue.
Recent updates
FDA picks first company for its TEMPO digital health pilot
The FDA chose Dexcom as the first participant in TEMPO, a pilot with CMS to gather real-world evidence on digital health devices, including AI insights, for chronic disease care. It plans up to ten more participants in each of four clinical areas.
Source: US FDALinks checked 3 October 2026. “Not listed” means we could not confirm the detail, not that it is absent. Educational material, not clinical advice.