AI Doctor Book
Featured In
“Dr. Razmi appears on CNBC’s Power Lunch to discuss the investment landscape in health AI in private and public markets and which applications offer the investors the most realistic short-term opportunities for high returns”
“We’re talking to Dr. Ronald Razmi, co-founder and managing director at Zoi, about his new book – ‘AI Doctor: The Rise of Artificial Intelligence in Healthcare – A Guide for Users, Buyers, Builders, and Investors.”
“Artificial intelligence (AI) could within a matter of decades unlock the secrets of our bodies and accurately diagnose illnesses by exploring more diverse data than any human is able to, according to a doctor and author of a new book on the emerging technology’s use in healthcare.”
AI Doctor: The Rise of Artificial Intelligence in Healthcare provides a timely and authoritative overview of the current impact and future potential of AI technology in healthcare.
With a reader-friendly narrative style, this comprehensive guide traces the evolution of AI in healthcare, describes methodological breakthroughs, drivers and barriers of its adoption, discusses use cases across clinical medicine, administration and operations, and life sciences, and examines the business models for the entrepreneurs, investors, and customers.
Addressing the potential impact of AI on the clinical practice of medicine and the business of healthcare, and opportunities for investors, AI Doctor: The Rise of Artificial Intelligence in Healthcare:
• Discusses what AI is currently doing in healthcare and its direction in the next decade.
• Examines the development and challenges for medical algorithms.
• Identifies the applications of AI in diagnostics, therapeutics, population health, clinical workflows, administration and operations, discovery and development of new clinical paradigms and more.
• Presents timely and relevant information on rapidly expanding generative AI
technologies, such as Chat GPT.
• Describes the analysis that needs to be made by entrepreneurs and investors as they evaluate building or investing in health AI solutions.
• Features a wealth of relatable real-world examples that bring technical concepts to life.
• Explains the role of AI in the development of vaccines, diagnostics, and therapeutics during the COVID-19 pandemic.
TABLE OF CONTENTS
Part 1
Roadmap of AI in
Healthcare
History of AI and its Promise in Healthcare
Building Robust Medical Algorithms
Barriers to AI Adoption in Healthcare
Drivers of AI Adoption in Healthcare
Part 2
Applications of
AI in
Healthcare
Diagnostics
Therapeutics
Clinical Decision Support
Population Health and Wellness
Clinical Workflows
Administration and Operations
AI Applications in Life Sciences
Part 3
The Business Case for AI in Healthcare
Which Health AI Applications Are Ready for Their Moment?
The Business Model for Buyers of Health AI Solutions
How to Build and Invest in the Best Health AI Companies
WHO IS IT FOR
Healthcare Professionals
Every job in healthcare will be impacted by AI. Learn how your role will be affected
Investors
Health AI companies face many barriers in gaining adoption for their technologies. Learn how to evaluate these companies to choose those with the best chance of success
Entrepreneurs
For those building the companies of tomorrow, knowing which use cases will be in-demand and how to navigate the adoption barriers will be critical in their journey
Healthcare Executives
Learn which AI technologies will improve patient care and boost the bottom line
Life Science Executives
AI can accelerate the timelines for discovering new diagnoses and therapeutics. Learn which AI applications will transform the industry
Health Enthusiasts
Anyone wondering how AI will help all of us live healthier and more active lives
MEET THE AUTHOR
RONALD M. RAZMI, MD is a cardiologist and the co-founder and Managing Director of Zoi, an advisory and technology development firm that works with healthcare companies to ensure informed selection, development, and implementation of the applications of AI in healthcare. He completed his medical training at the Mayo Clinic and holds an MBA from Northwestern University’s Kellogg School of Management.
Ron was one of the pioneers in application of MRI systems in managing cardiac patients. He built the software system, cardiovascularmri.com, to serve as a platform for education and training of cardiologists in using MRI in managing their patients. He is a co-author of the textbook “Handbook of Cardiovascular Magnetic Resonance Imaging.”
Ron was a McKinsey consultant with focus on strategy, M&A, and commercialization of healthcare technologies. In 2011, he founded a population health management software company at the dawn of digital health. He saw firsthand the confluence of clinical, technical, and business factors that need to come together for new technologies to gain adoption in healthcare. Much of what he learned is covered in this book to educate innovators, buyers and investors about the roadmap of technology adoption in healthcare. Ron has been one of the prominent voices in digital health over the last 15 years.
In 2021, he launched AI Doctor, one of the only blogs focused solely on the applications of AI in healthcare. He’s a frequent speaker at conferences, guest on podcasts, and author of medical and business articles.
PRAISE FOR AI DOCTOR
PRESS INQUIRIES
Sublime Communications
Michelle Moskowitz
mmoskowitz@sublimecommunications.com
FREQUENTLY ASKED QUESTIONS
Is AI Doctor written for the healthcare professionals or the business readers?
Does AI Doctor cover the basics of artificial intelligence for those people with no background in this field?
Yes. The first chapter reviews what AI really is, the history of AI, how it went through decades of ups and downs to finally deliver on its lofty promises, the difference between AI and analytics, different forms of AI, generative AI, and other basic concepts that familiarize the readers with this technology before reading the rest of the book.
Is AI Doctor heavy in technical language and hard to read?
What topics does AI Doctor cover for investors and business readers?
The business of healthcare is very complicated due to the nature of the medical insurance industry and how it interacts with medical providers and healthcare institutions. As such, the roadmap for any technology that aims to change the status quo is complex. AI Doctor Examines the many factors that can make or break any AI technology in healthcare. It also lays out key things to look for by investors and entrepreneurs before they pull the trigger in building or investing in a new health AI solution. Also, it provides a set of selection criteria for healthcare and life sciences executives as they decide which AI solutions to buy for their businesses.
