From algorithms that draft clinical notes in seconds to autonomous agents that triage emergency room backlogs, artificial intelligence is quietly reshaping every facet of healthcare.
From algorithms that draft clinical notes in seconds to autonomous agents that triage emergency room backlogs, artificial intelligence is quietly reshaping every facet of healthcare.
Rohit Mahajan is a digital health entrepreneur and author of the #1 Amazon bestseller Quantum Care: A Deep Dive into AI for Health Delivery and Research. He is the CEO of BigRio and Damo and the Founder of Saviance Technologies. Rohit co-hosts The Big Unlock podcast and was honored with the 2025 GHLF Global Impact Award for Digital Health Innovation. A Wharton Fellow and HBS graduate, he has completed advanced AI and healthcare programs from MIT and Harvard. His work focuses on using technology to drive compassionate, equitable, and impactful healthcare transformation. Ritu M. Uberoy is a technology executive, entrepreneur, and educator with 25+ years of experience in digital transformation across healthcare and life sciences. She leads the Generative AI Center of Excellence at BigRio and the DigiMTM initiative at Damo Consulting. Ritu hosts The Big Unlock podcast and regularly conducts GenAI workshops for healthcare leaders. She holds degrees from NSIT and Santa Clara University and has completed executive programs at Harvard, MIT, and Wharton. Her forthcoming book offers senior healthcare and pharma executives a practical roadmap to implementing generative AI.
Inhaltsangabe
Acknowledgements. Foreword. Preface. Introduction. About the Authors. Chapter 1 Evolution of AI in Healthcare: From ML to LLMs. Chapter 2 Current Landscape of GAI in Healthcare. Chapter 3 Future Directions and Innovations. Chapter 4 Key Players and Startup Opportunities. Chapter 5 Privacy and Ethical Considerations. Chapter 6 Challenges in GAI Implementation. Chapter 7 Integration of GAI into Medical Practice. Chapter 8 Impact on Healthcare Delivery. Chapter 9 GAI in Medical Research and Drug Discovery. Chapter 10 AI Agents Unlocking the Future of Gen AI for Healthcare. Chapter 11 Where We Stand and Where We Dare to Go.
Acknowledgements. Foreword. Preface. Introduction. About the Authors. Chapter 1 Evolution of AI in Healthcare: From ML to LLMs. Chapter 2 Current Landscape of GAI in Healthcare. Chapter 3 Future Directions and Innovations. Chapter 4 Key Players and Startup Opportunities. Chapter 5 Privacy and Ethical Considerations. Chapter 6 Challenges in GAI Implementation. Chapter 7 Integration of GAI into Medical Practice. Chapter 8 Impact on Healthcare Delivery. Chapter 9 GAI in Medical Research and Drug Discovery. Chapter 10 AI Agents Unlocking the Future of Gen AI for Healthcare. Chapter 11 Where We Stand and Where We Dare to Go.
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