Analysis

coronarography.ai

AI-powered app for predicting coronary artery pathology from ECG images and risk factors.

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AI-powered app for predicting coronary artery pathology from ECG images and risk factors
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AI-powered app for predicting coronary artery pathology from ECG images and risk factors

Overview

Coronarography.AI is an application that uses artificial intelligence to predict the pathology of coronary arteries. It allows users to upload an ECG image, select risk factors, and receive an AI-driven prediction of myocardial ischemia and other pathologies related to the heart's main arteries. The application aims to provide immediate results, helping to identify acute conditions early and prompting timely consultation with a specialist. It is developed by cardiologist Timur Pulatovich Abdualimov.

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Access & connections

Where you can use coronarography.ai.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • AI-powered prediction of coronary artery pathology
  • Analysis based on ECG images and risk factors
  • Immediate results
  • Identification of occlusion, subocclusion, and stenosis

FAQ 7

What is Coronarography.AI?
Coronarography.AI is an application that uses artificial intelligence to predict the pathology of coronary arteries. It allows users to upload an ECG image, select risk factors, and receive an AI-driven prediction of myocardial ischemia and other pathologies related to the heart's main arteries. The application aims to provide immediate results, helping to identify acute conditions early and prompting timely consultation with a specialist. It is developed by cardiologist Timur Pulatovich Abdualimov.
How to use Coronarography.AI?
Upload an ECG image in JPEG or PNG format, select relevant risk factors, and the AI will predict the presence of myocardial ischemia or other coronary artery pathologies.
What is Coronarography.AI?
A new technique in the detection of coronary heart disease using neural network analysis to predict coronary heart disease, revealing myocardial ischemia and pathology of the main coronary arteries based on risk factors and ECG images.
What are the advantages of the technique?
Simplicity (questionnaire and ECG image), speed (less than a second), non-invasiveness, remote usability, and high accuracy. It helps identify acute conditions early and doesn't require extensive computer resources.
What is the accuracy of the results?
The neural network predicts damage to the main coronary arteries with a sensitivity of 63%, a specificity of 88%, and AUC of 0.74.
What should I do if I get a positive result?
Contact a specialized specialist for clarification. Additional testing may be required.
ECG requirements?
Any ECG image on 1 page, it is desirable that the recording speed be 25 mm/sec.
coronarography.ai