AI IN CLINICAL MEDICINE An essential overview of the application of artificial intelligence in clinical medicine
AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI in Clinical Medicine: A Practical Guide for Healthcare Professionals is divided into four sections. Section 1 provides readers with the basic vocabulary that they require, a framework for AI, and highlights the importance of robust AI training for physicians. Section 2 reviews foundational ideas and concepts, including the history of AI. Section 3 explores how AI is applied to specific disciplines. Section 4 describes emerging trends, and applications of AI in medicine in the future.
Readers will find that this book:
- Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains.
- Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues.
- Addresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns.
- Includes bulleted lists of learning objectives, key insights, clinical vignettes, brief examples of where AI is successfully deployed, and examples of potential problematic uses of AI and possible risks.
From radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more, AI in Clinical Medicine: A Practical Guide for Healthcare Professionals explores all recent state-of-the-art developments in the field. It is an essential resource for a general medical audience across all disciplines, from students to clinicians, academics to policy makers.
Dr. Michael F.Byrne, lead editor, is a Clinical Professor of Medicine at the University of British Columbia, and is also CEO and founder of Satisfai Health, a leading provider of AI solutions in Gastroenterology. He is in great demand as a speaker and thought leader on the international medical AI circuit.
Dr. Nasim Parsa is a gastroenterologist and clinical researcher with interest in patient outcomes and meaningful implementation of AI in practice. She is also the Vice President of Medical Affairs at Satisfai Health.
Dr. Alexandra T. Greenhill is one of the leading physicians in healthinnovation, founder, advisor and board member of some of the best digital health focused organizations on a mission to accelerate the future of health.
Dr. Daljeet Chahal is a board-certified gastroenterologist and clinical researcher who recently finished advanced hepatology training at the Mount Sinai Hospital in New York City. He has returned to Vancouver to practice medicine at the University of British Columbia, and hopes to incorporate machine learning technologies into his future clinical, research, and business endeavors.
Dr. Omer Ahmad is a gastroenterologist and senior clinical translational research scientist at University College London. He has successfully co-developed AI software that is being used in routine clinical practice, and published international initiatives related to the effective implementation of AI solutions.
Dr. Ulas Bagci is an Associate Professor at Northwestern University’s Radiology, ECE, and Biomedical Engineering Departments in Chicago, and Courtesy Professor at the Center for Research in Computer Vision (CRCV), Department of Computer Science, at the University of Central Florida (UCF).
