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 Speaker Profile

M.D., VP Healthcare & Life Sciences AI, iMerit Technology

Biography
Plastic and Reconstructive Surgeon Sina Bari, MD, is a leading medical and information technology innovator. His knowledge and expertise are well-respected across the industry as a considered voice in the development of Medical Artificial Intelligence. In January 2022, Dr. Bari joined iMerit Technology to help the worlds leading medtech companies train safe, high-quality AI systems. At iMerit, Dr. Bari has created and led the healthcare division from ideation to the leading company in the space. Medical AI is a dynamic field where large-scale datasets harness human intelligence to train computer neural networks. Dr. Baris work has significantly improved patient access and care in radiology, endoscopy, robotic surgery, drug development, and drug safety.


 Session Abstract – PMWC 2026 Silicon Valley

Track 2: AI - March 5 9.00 A.M.-4.45 P.M.


Track Chairs:
William Oh, Yale & David Reese, Amgen

PMWC Award Ceremony
• Nigam Shah, Stanford

Keynote
• David Reese, Amgen

Real-World Evidence & Clinical AI: Closing the Loop Between Data and Care
• Chair: Roxana Daneshjou, Stanford
• Aashima Gupta, Google
• David Sontag, Layer Health
• Brigham Hyde, Atropos Health
• Michael Pfeffer, Stanford
• Thomas Fuchs, Lilly

From Data to Decisions: Building Regulatory-Grade RWE from EHR Systems in Oncology
• Chair: Kate Estep, Flatiron Health

AI and Real-World Evidence: Building a Learning Health System for Precision Care
• Rich Gliklich, OM1

AI for Clinical Decision Support: From Models to Bedside
• Chair: Amrita Basu, UCSF
• Anurang Revri, Stanford
• Emily Alsentzer, Stanford
• Okan Ekinci, Roche

AI for CDS: From Models to Bedside
• Zachary Ziegler, OpenEvidence

Operationalizing AI in Health Systems: Trust, Adoption & Outcomes
• Chair: Danton Samuel Char, Stanford
• Matthew Solomon, Sutter Health
• Karan Singhal, Head of Health, OpenAI
• Sina Bari, iMerit Technology
• Hal Paz, Khosla Ventures

Safe, Scalable AI in Clinical Practice: What’s Working and What’s Not
• Chair: Nigam Shah, Stanford
• David Entwistle, CEO, Stanford Health Care
• Vincent Liu, Kaiser Permanente

AI for Precision Psychiatry: Integrating Multimodal Data Into Clinical Decision Support
• Erwin Estigarribia, HEADLAMP Health

Workflow-First Clinical AI: Integration Patterns, Guardrails & Change Management
• Jorge Duran, Klick Health

From Patient-Generated Data to Regulatory-Grade RWE: Design, Bias & Outcome Linkage
• Greg Bowyer, Evidation

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