AI in Clinical Medicine

Zusatztext

<b>AI IN CLINICAL MEDICINE</b><p><b>An essential overview of the application of artificial intelligence in clinical medicine</b><p><i>AI in Clinical Medicine: A Practical Guide for Healthcare Professionals<b></b></i>is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine.<i>AI in Clinical Medicine: A Practical Guide for Healthcare Professionals</i>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.<p>Readers will find that this book:<ul><li> Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains.</li><li> Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues.</li><li> Addresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns.</li><li> 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.</li></ul><p>From radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more,<i>AI in Clinical Medicine: A Practical Guide for Healthcare Professionals</i>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.

Autorenportrait

<p><b>Dr. Michael F.Byrne,</b> 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.</p><p><b>Dr. Nasim Parsa</b> 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.</p><p><b>Dr. Alexandra T. Greenhill</b> 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.</p><p><b>Dr. Daljeet Chahal</b> 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.</p><p><b>Dr. Omer Ahmad</b> 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.</p><p><b>Dr. Ulas Bagci</b> is an Associate Professor at Northwestern Universitys 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).</p>

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