About AI-HEART Lab

Physician-Led AI Solutions for Cardiovascular Medicine

Clinical Foundation

AI-HEART Lab was founded by Dr. Rahul Chaudhary, a staff cardiologist and physician-scientist currently serving at the VA Pittsburgh Medical Center.

  • Johns Hopkins — internal medicine residency, postdoctoral research in cardiovascular genetics
  • Mayo Clinic — assistant professor of medicine
  • University of Pittsburgh Medical Center — cardiology fellowship, NIH T32 postdoctoral fellowship in AI-enhanced cardiovascular medicine
  • Maulana Azad Medical College — MBBS (New Delhi)
  • Indiana University Kelley School of Business — MBA, Lean Six Sigma Green Belt
  • Georgia Institute of Technology — MSCS in machine learning (in progress)
  • Leadership — Chief Medical Officer at an AI health technology company; ABIM board certified

Research Impact

150+ peer-reviewed publications (h-index 26; 2,838 citations) spanning cardiovascular thrombosis, interventional cardiology, and AI applications in cardiovascular medicine.

  • 18 international guideline citations — AHA, ESC, ACC/AHA, SCAI, HRS
  • Guest Editor — Journal of Clinical Medicine, AI in Cardiovascular Procedures
  • Chair, Endpoint Adjudication Committee — WARRIORS Trial, Imperial College London
  • Peer review — Circulation, European Heart Journal, JACC Advances, npj Digital Medicine, BMJ Open

Technology Layer

The transition from pure clinical research to applied technology was deliberate — designed to bridge the gap between clinical expertise and engineering capability.

Education

  • Georgia Tech — CS and machine learning graduate training
  • Executive education — Cornell, Wharton, MIT (AI systems, platform strategy, medical device development)

Products

  • SENTINEL — AI-augmented endpoint adjudication for clinical trials
  • ChildBloom — longitudinal AI monitoring for pediatric development
  • Clinical calculators — free, guideline-aligned decision-support for practicing physicians

Vision

Clinical expertise is the scarcest input in health technology — and the most under-leveraged.

  • The gap — most AI tools built by engineers who consult clinicians, not clinicians who master engineering
  • The mission — translate clinical expertise into technology that scales physician decision-making across populations a single physician could never reach
  • The standard — interpretable outputs, clinically meaningful endpoints, honest uncertainty

Research Profiles

Publication record, citation metrics, and professional profiles across indexed platforms.

150+ publications, h-index 26

ResearchGate

Professional profile

LinkedIn

Persistent researcher identifier

ORCID

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