Our program is led by Prasanna Sakthi Aravazhi, a 4th-year medical student and clinical researcher from Madras Medical College, Chennai, India. Prasanna focuses on the intersection of cardiology and artificial intelligence. His research contributions span from echocardiographic population studies to precision medicine and AI-supported diagnostic frameworks. Prasanna’s multidisciplinary approach blends clinical insight with technological innovation, aiming to redefine diagnostic accuracy, risk prediction, and evidence-based decision-making in cardiovascular medicine.

Over the past year, Prasanna has authored and co-authored multiple peer-reviewed papers
and abstracts in cardiovascular research, including two PubMed-indexed studies on
machine learning-aided diagnostics and cardiac outcomes. His abstracts — NIRVANA
(Normal Indian Reference Values for Adult Echocardiographic Assessment in 15,999
Volunteers) and PRECISE (Long-Term Predictive Risk Evaluation of PCI Using SYNTAX and
MACE) — were both accepted for presentation at the American College of Cardiology (ACC)
2026 Scientific Sessions. His upcoming review on Takotsubo Cardiomyopathy, accepted by
Disease-a-Month, integrates advances in biomarkers, genetics, and AI-driven
prognostication. Alongside research, Prasanna has been exploring how AI tools can
complement everyday clinical work and medical training, helping bridge the gap between
emerging technologies and real-world healthcare.