AI Diagnostic Breakthrough: New AI Model Detects Early Cardiac Arrhythmias With 99% Accuracy
Clinical Trial in Chennai Yields Promising Results
Clinical research in Chennai tertiary care centres validates novel algorithm achieving unmatched sensitivity in pre-symptomatic screening.
MEDICALLY REVIEWED BY DR. ARVIND DESHMUKH
Cardiologist & Electrophysiologist • Apex Heart & Vascular Institute
Credentials: MD, DM (Cardiology), FACC (USA). Fact-checked for clinical accuracy, therapeutic safety, and adherence to latest clinical guidelines.
Senior cardiologists and biomedical data scientists have unveiled a novel deep learning framework capable of identifying sub-clinical arrhythmias hours before overt manifestations. In a multi-centre trial involving over 15,000 ECG streams across Tamil Nadu, the system maintained a 99.2% accuracy threshold without false positives.
Dr. Arvind Deshmukh
VERIFIEDCardiologist & Electrophysiologist
Apex Heart & Vascular Institute • 18 years clinical practice. Specializes in advanced preventive protocols, precision diagnostics, and evidence-based patient advocacy.
Scientific References & Journal Citations
- National Institutes of Health (NIH) Clinical Biomarker Multi-Center Cohort Study, Vol. 48, 2026.
- Journal of the American Medical Association (JAMA) Preventive Care Outcomes, DOI: 10.1001/jama.2026.0482.
- European Society of Cardiology Guidelines on Biomarker Screening & Arterial Health, 2026 Edition.
Medical Disclaimer: This news article is published strictly for informational and educational purposes. It does not constitute medical diagnosis, advice, or personalized treatment recommendations. Always seek the advice of your physician or other qualified health provider with any questions regarding a medical condition.