AI in Clinical Medicine (eBook)

A Practical Guide for Healthcare Professionals
eBook Download: EPUB
2023 | 1. Auflage
592 Seiten
Wiley (Verlag)
978-1-119-79067-9 (ISBN)

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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.


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).

List of Contributors


Editor Biographies


Lead Editor, Dr Michael Byrne

Dr Michael Byrne is a Clinical Professor of Medicine in the Division of Gastroenterology, and Director of the Interventional Endoscopy Fellowship programme at Vancouver General Hospital/University of British Columbia.

He is also CEO of Satisfai Health (and founder of ai4gi), a company aiming to deliver precision endoscopy to gastroenterology using artificial intelligence and allied technologies.

Dr Byrne is a graduate of both Cambridge and Liverpool Universities, and trained in advanced endoscopy at Duke University. He holds a doctorate degree from Cambridge University for his molecular science bench research work on Helicobacter pylori and Cyclooxygenase.

He is widely regarded as one of the leading physician experts in artificial intelligence as applied to gastroenterology. He is in huge demand as a medical AI reviewer for all the top medical journals, and is frequently described as one of the pioneers in bringing AI to gastroenterology and endoscopy.

He has presented at many international conferences, particularly in relation to artificial intelligence and gastroenterology.

He has published over 150 papers in peer‐reviewed journals, and over 200 abstracts.

Dr Byrne is a clinical innovator and physician entrepreneur with more than 25 years’ experience as a practising physician.

Editorial Team


Dr Nasim Parsa

Dr Nasim Parsa is a board‐certified gastroenterologist and clinical researcher. She attended Tehran University of Medical Sciences, completed her gastroenterology fellowships at the University of Missouri, and pursued an additional year of training in advanced oesophageal disorders at the Mayo Clinic. She is also the Vice President of Medical Affairs at Satisfai Health Inc., a leading medical solution provider specializing in AI applications in gastroenterology.

Through her work as a clinician and researcher, she has published extensively, with over 30 peer‐reviewed publications and over 40 abstract presentations at national and international meetings. She has been an invited reviewer for several prestigious journals, including Gastroenterology and Gastrointestinal Endoscopy. She is committed to serving her profession, and is currently serving on several GI Society committees, including the Educational Affair Committee for the American College of Gastroenterology (ACG), the Education Committee of the International Society for the Disease of the Esophagus, and the Quality Leadership Council of the American Gastroenterological Association (AGA).

Dr Parsa is passionate about improving patient outcomes through cutting‐edge technology and the meaningful implementation of AI in clinical practice. She is the youngest member of the AI in Clinical Medicine editorial team, and has made significant editorial contributions to this book.

Dr Alexandra T. Greenhill

Dr Alexandra T. Greenhill is one of the leading physicians in health innovation, and the CEO/Chief Medical Officer of Careteam Technologies. After a more than 15‐year career in director and C‐level leadership roles, she has spent the last few years leading and advising some of the most innovative healthtech companies. She is a TEDx and keynote speaker, has been recognized as one of the Top 40 under 40, Most Influential Women in STEM, and WXN Most Powerful Woman, and has received the Queen Elizabeth II Medal of Service.

Dr Daljeet Chahal

Dr Daljeet Chahal completed his bachelor’s degree at the University of Northern British Columbia, followed by his master’s and medical degrees through the University of British Columbia. He completed his internal medicine and gastroenterology training in Vancouver. Dr Chahal is currently completing advanced hepatology training at the Mount Sinai Hospital in New York. He has an interest in applying machine learning technologies to various aspects of clinical medicine, and hopes to incorporate such technologies into his future clinical practice and research endeavors.

Dr Omer Ahmad

Dr Omer Ahmad is a gastroenterologist and senior clinical research scientist at University College London, with a specialist interest in interventional endoscopy, advanced imaging techniques, and computer vision.

His academic work focused on the clinical translation of artificial intelligence in endoscopy, providing experience across the entire translational pipeline for AI software as a medical device. His pioneering interdisciplinary research at UCL led to the development of AI software for real‐time use during colonoscopy, which is currently being used in clinical practice. He was awarded the young clinical and translational scientist of the year by the British Society of Gastroenterology.His specific research interests include identifying barriers to the implementation of artificial intelligence in healthcare. He has published numerous international initiatives related to the effective validation and implementation of AI solutions. He also serves as an expert member on AI working groups for international endoscopy societies and is developing educational programmes to improve foundational knowledge of AI for clinicians.

Dr Ulas Bagci

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, Department of Computer Science, at the University of Central Florida. His research interests include artificial intelligence, machine learning, and their applications in biomedical and clinical imaging. Dr Bagci has more than 250 peer‐reviewed articles in these areas. Previously, he was a staff scientist and lab co‐manager at the National Institutes of Health’s Radiology and Imaging Sciences Department, and Center for Infectious Diseases Imaging. Dr Bagci holds two NIH R01 grants (as Principal Investigator), and serves as a Steering Committee member of AIR (artificial intelligence resource) at the NIH. He has also served as an area chair for MICCAI for several years, and is an Associate Editor of top‐tier journals in his fields such as IEEE Transactions on Medical Imaging, Medical Physics, and Medical Image Analysis. Dr Bagci teaches machine learning, advanced deep learning methods, computer and robot vision, and medical imaging courses. He has several international and national recognitions, including best paper and reviewer awards.

Editorial Manager – Dr Chrystal Palatý

Dr Chrystal Palatý has provided project management and medical writing services to her clients in the medical and health research sectors since founding her company, Metaphase Health Research Consulting Inc. (www.metaphase‐consulting.com), in 2007. She earned her PhD in Experimental Medicine from the University of British Columbia, then continued her research with a postdoctoral position in cell cycle control at the University of Toronto, and molecular mechanisms of DNA repair at Toronto’s Hospital for Sick Children Research Institute.

AI in Clinical Medicine: A Practical Guide for Healthcare Professionals was her most challenging project to date and also one of the most rewarding. She especially enjoyed working with all the editors and authors.

Alphabetical List of Authors


Aazad Abbas, MD(c)
Temerty Faculty of Medicine, University of Toronto, Toronto, Canada

Yasmin Abedin, BSc, MBBS, MSc
Computer Science, University College London, London, UK

Aakanksha Agarwal, MBBS, MD, DNB
Fellow in Musculoskeletal Radiology, Department of Radiology, University of British Columbia, Vancouver, BC, Canada

Omer F. Ahmad, BSc, MBBS, MRCP
Wellcome EPSRC Centre for Interventional and Surgical Sciences (WEISS), University College London, London, UK

Sharib Ali, MSc, PhD
Lecturer, School of Computing, Faculty of Engineering and Physical Sciences, University of Leeds, Leeds, UK

Syed Muhammad Anwar, PhD
University of Engineering and Technology, Taxila, Pakistan
Sheikh Zayed Institute for Pediatric Surgical Innovation, Children’s National Hospital, Washington, DC, USA

Charles E. Aunger, MSc, FBCS
Managing Director, Health2047, Menlo Park, CA, USA

Ulas Bagci
Machine and Hybrid Intelligence Lab, Department of Radiology, Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Northwestern University, Chicago, IL, USA

Junaid Bajwa, BSc, MBBS, MRCGP, MRCS, FRCP, MSc, MBA
Chief Medical Scientist, Microsoft Research (Global)
Physician, NHS, UK

Judy L. Barkal
Health2047, Menlo Park, CA, USA

Tyler M. Berzin, MD, MS, FASGE
Center for Advanced Endoscopy, Division of Gastroenterology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA

Ramin E. Beygui, MD, MSc, FACS
Professor of Surgery, UCSF School of Medicine, University of California, San Francisco, CA, USA
Medical Director, Washington Hospital Healthcare System, Fremont, CA, USA

Abhishek Bhattarcharya, BA, BS
School of Medicine, University of Michigan, MI, USA

David Burns MD, PhD
Division of Orthopaedic Surgery, Department of Surgery, University of Toronto, Toronto, Canada

Michael F. Byrne, BA, MA,...

Erscheint lt. Verlag 1.3.2023
Sprache englisch
Themenwelt Medizin / Pharmazie Medizinische Fachgebiete Innere Medizin
Schlagworte AI • Allgemeine u. Innere Medizin • General & Internal Medicine • KI • Klinische Medizin • Künstliche Intelligenz • Medical Science • Medizin
ISBN-10 1-119-79067-0 / 1119790670
ISBN-13 978-1-119-79067-9 / 9781119790679
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