About Coronarography.AI
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.
Top use cases
- Predicting the impact of lifestyle changes (obesity, smoking, etc.) on coronary health.
- Early detection of potential coronary artery issues to prompt specialist consultation.
- Remote non-invasive coronary angiography where specialized medical care is limited.
Built for
Key features
- AI-powered prediction of coronary artery pathology
- Analysis based on ECG images and risk factors
- Immediate results
- Identification of occlusion, subocclusion, and stenosis
Pros & cons
Pros
- Non-invasive technique
- Fast results (less than a second)
- Remote accessibility
- Early identification of acute conditions
- Does not require extensive computer resources or expensive equipment
Cons
- Sensitivity of 63% may result in false negatives
- Requires an ECG image
- Requires user input of risk factors
Company information
- Coronarography.AI Support Email & Customer service contact & Refund contact etc. Here is the Coronarography.AI support email for customer service: [email protected] . More Contact, visit the contact us page(https://coronarography.ai/#mu-contact)
Frequently asked questions
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.
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