Prof Nigam H. Shah
Professor of Medicine and Chief Data Scientist
Position: Professor of Medicine, Chief Data Scientist for Stanford Health Care
Specialization: Artificial Intelligence in Healthcare, Medical Informatics, Clinical AI Implementation
Affiliation: Stanford University, Stanford School of Medicine
Biography
Dr. Nigam Shah is Professor of Medicine at Stanford University and Chief Data Scientist for Stanford Health Care. He studies ways of bringing AI into clinical use, safely, ethically and cost-effectively. Dr. Shah is an inventor on nine patents, has authored over 350 scientific publications, and has co-founded three companies.
Dr. Shah was inducted into the American College of Medical Informatics (ACMI) in 2015 and the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.
Research Focus
Professor Shah's research focuses on the safe, ethical, and cost-effective implementation of artificial intelligence in clinical settings. His work bridges the gap between cutting-edge AI technology and practical healthcare applications, ensuring that technological innovations can be effectively translated into improved patient care.
Key Research Areas
- Artificial intelligence in clinical practice
- Medical informatics and healthcare data science
- Ethical AI implementation in healthcare
- Cost-effective healthcare technology solutions
- Clinical decision support systems
- Healthcare data analytics and interpretation
Innovations and Patents
Dr. Shah is an inventor on nine patents, demonstrating his significant contributions to technological innovation in healthcare. His inventions span various aspects of medical AI and informatics, contributing to the advancement of healthcare technology and improving clinical practice.
Entrepreneurial Ventures
Professor Shah has co-founded three companies, translating his research into practical applications that address real-world healthcare challenges. These ventures demonstrate his ability to bridge academic research with commercial innovation, bringing cutting-edge solutions to market.
Academic Achievements
- Over 350 scientific publications
- Inducted into the American College of Medical Informatics (ACMI) in 2015
- Inducted into the American Society for Clinical Investigation (ASCI) in 2016
- Nine patents in healthcare technology
- Leadership in medical AI research and implementation
Educational Background
- MBBS: Baroda Medical College, India
- PhD: Penn State University
- Postdoctoral Training: Stanford University
Professional Roles
- Professor of Medicine, Stanford University
- Chief Data Scientist for Stanford Health Care
- Research leader in AI clinical implementation
- Healthcare technology innovator and entrepreneur
Impact and Contributions
Professor Shah's work has significantly advanced the field of medical AI, particularly in ensuring that artificial intelligence can be safely and ethically integrated into clinical practice. His research has influenced both academic discourse and practical healthcare delivery, contributing to more effective and efficient healthcare systems.