About AI-HEART Lab

Physician-Built Technology to Accelerate Science and Transform Patient Care

Clinical Foundation

Rahul Chaudhary, MD, MBA, MSCS, FACP, FACC — Practicing Cardiologist and Physician-Scientist

Rahul Chaudhary, MD, MBA, MSCS, FACP, FACC

Practicing Cardiologist & Physician-Scientist-Executive-Engineer

VA Pittsburgh Medical Center

AI-HEART Lab was founded by Dr. Rahul Chaudhary, a practicing cardiologist (FACP, FACC) and physician-scientist-executive-engineer currently serving at the VA Pittsburgh Medical Center.

  • Johns Hopkins University — internal medicine residency, postdoctoral research in cardiovascular genetics
  • Mayo Clinic Rochester — former 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; practicing cardiologist (FACP, FACC)

Research Impact

150+ peer-reviewed publications (h-index 27; 2,975 citations) spanning cardiovascular thrombosis, interventional cardiology, and AI applications in cardiovascular medicine. View full publication list.

  • 18 international guideline citations — AHA, ESC, ACC/AHA, SCAI, HRS
  • Guest EditorJournal of Clinical Medicine, AI in Cardiovascular Procedures
  • Chair, Endpoint Adjudication Committee — WARRIORS Trial, Imperial College London
  • Peer reviewCirculation, 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 Institute of Technology — MSCS in machine learning
  • Indiana University Kelley School of Business — MBA, Lean Six Sigma Green Belt
  • Executive education — Cornell, Wharton, MIT (AI systems, platform strategy, medical device development)

Products — Clinical Decision Support

Products — Research Tools

Products — Quality Assurance

  • VIGIL — Clinical AI Audit automated quality assurance the only purpose-built audit system for healthcare AI conversations and clinical documentation. Detects hallucinations, prompt injection, fabricated authorities, scope violations, and dozens of additional clinically specific flag types using multi-model consensus with independent cross-validation. HIPAA-compliant with zero data retention

Vision

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

  • The gap — most AI tools are built by engineers who consult clinicians, not clinicians who master engineering. Meanwhile, evidence-based guidelines take years to reach the patients who need them
  • The mission — build physician-led technology that accelerates scientific discovery and closes the gap between published evidence and bedside care
  • The standard — interpretable outputs, clinically meaningful endpoints, honest uncertainty — safe, effective, and timely

Learn more about our clinical validity, endpoint adjudication, and AI validation consulting services.

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Research metrics, professional profile, and scheduling.

150+ publications, h-index 27, i10-index 62

Professional profile

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