{"product_id":"ai-in-clinical-medicine","title":"AI in Clinical Medicine","description":"\u003cp\u003e\u003cb\u003eAI IN CLINICAL MEDICINE\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn essential overview of the application of artificial intelligence in clinical medicine\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003e\u003ci\u003eAI in Clinical Medicine: A Practical Guide for Healthcare Professionals \u003c\/i\u003eis the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. \u003ci\u003eAI in Clinical Medicine: A Practical Guide for Healthcare Professionals \u003c\/i\u003eis 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.\u003c\/p\u003e\u003cp\u003eReaders will find that this book:\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eDescribes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains.\u003c\/li\u003e\n\u003cli\u003eDives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues.\u003c\/li\u003e\n\u003cli\u003eAddresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns.\u003c\/li\u003e\n\u003cli\u003eIncludes 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.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eFrom radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more, \u003ci\u003eAI in Clinical Medicine: A Practical Guide for Healthcare Professionals \u003c\/i\u003eexplores 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.\u003c\/p\u003e\u003cp\u003eAbout the Author\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Michael F.Byrne,\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Nasim Parsa\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Alexandra T. Greenhill\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Daljeet Chahal\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Omer Ahmad\u003c\/b\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr. Ulas Bagci\u003c\/b\u003e 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).\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"John Wiley \u0026 Sons","offers":[{"title":"Default Title","offer_id":50506520395846,"sku":"9781119790648","price":9456.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0754\/2797\/1142\/files\/71GsCAmLjrL._SY425.jpg?v=1790330817","url":"https:\/\/cb-india.com\/products\/ai-in-clinical-medicine","provider":"Computer Bookshop (India) Pvt Ltd","version":"1.0","type":"link"}