Coronarography.AI: AI ECG Coronary Artery Screening

Coronarography.AI is a specialized diagnostic tool that harnesses neural network technology to screen for coronary artery disease using nothing more than an uploaded ECG image and a short risk factor questionnaire. Built by practicing cardiologist Timur Pulatovich Abdualimov, the platform is designed to bridge the gap between routine ECG readings and the invasive angiography traditionally required to confirm arterial blockages, offering a faster, non-invasive first look at heart health. The AI model evaluates the ECG alongside patient-specific risk factors to flag potential occlusion, subocclusion, and stenosis in the main coronary arteries. Results are generated in less than a second, making it a practical triage tool for busy clinical settings or areas where cardiology specialists and advanced imaging equipment are scarce. Rather than replacing formal diagnosis, the app is positioned as an early-warning system, helping clinicians and concerned individuals decide when to pursue further specialist evaluation. Its accessibility—requiring only a standard ECG image and basic health data—makes it especially valuable for remote practitioners, general practitioners without cardiology training, and anyone wanting a preliminary, data-driven read on their coronary risk before committing to more invasive testing.

1. Take or scan an ECG recording, ideally captured at 25 mm/sec, and save it as a JPEG or PNG file on a single page. 2. Upload the ECG image to the Coronarography.AI platform. 3. Select the applicable risk factors from the provided questionnaire (e.g., smoking, obesity, lifestyle habits). 4. Submit the form and receive an instant AI-generated prediction regarding myocardial ischemia and coronary artery pathology. 5. If the result is positive or concerning, consult a cardiologist or specialist for confirmatory testing.