CardiologyAI in Cardiology Blog
Articles, studies and news about Artificial Intelligence applied to cardiology. Updated content for healthcare professionals.
AI in Atrial Fibrillation Detection: State of the Art in 2026
Complete review of deep learning algorithms for automatic AF detection in 12-lead ECG and wearable devices, with analysis of sensitivity, specificity and clinical applicability.
Cardiovascular Risk Predictive Models: Beyond Framingham
How machine learning is revolutionizing cardiovascular risk stratification, integrating biomarkers, genetics and imaging for personalized 10-year event prediction.
Automated Echocardiography: Accuracy and Efficiency in Clinical Practice
Analysis of main AI software for automatic calculation of ejection fraction, ventricular volumes and valve disease detection, with validation in large multicenter cohorts.
AI in Heart Failure Therapy Optimization
AI-based decision support systems for HF medication titration, reducing hospitalizations and improving quality of life through personalized adjustments.
AI Regulation in Medicine: CFM Perspective
Analysis of Federal Council of Medicine guidelines on artificial intelligence use in medical practice, professional responsibility and ethical aspects of AI implementation in cardiology.
Intelligent Triage in Cardiac Emergencies
How AI algorithms are prioritizing chest pain patients in emergency rooms, identifying high-risk cases and reducing door-to-balloon time in acute coronary syndromes.
CFM Regulation on AI in Medicine
The Federal Council of Medicine (CFM) plays a crucial role in the regulation, ethics and guidance of Brazilian medicine. The CFM has published important guidelines on the use of Artificial Intelligence in medical practice, establishing ethical principles, professional responsibility and application limits.
AI should be used as a medical decision support tool, never replacing the professional's clinical judgment.
The physician remains responsible for all clinical decisions, even when assisted by AI systems.
AI systems must be scientifically validated and approved by regulatory bodies before clinical use.