{"product_id":"ai-in-clinical-medicine-a-practical-guide-for-healthcare-professionals-hardback-9781119790648","title":"AI in Clinical Medicine; A Practical Guide for Healthcare Professionals (Hardback) 9781119790648","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAI in Clinical Medicine\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Practical Guide for Healthcare Professionals\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMichael F. Byrne (Edited by), Nasim Parsa (Edited by), Alexandra T. Greenhill (Edited by), Daljeet Chahal (Edited by), Omer Ahmad (Edited by), Ulas Bagci (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781119790648, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 12 May 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e592 pages\u003cbr\u003e25.9 x 18.5 x 3.6 cm, 1.406 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cb\u003eAI IN CLINICAL MEDICINE\u003c\/b\u003e \u003cp\u003e\u003cb\u003eAn essential overview of the application of artificial intelligence in clinical medicine\u003c\/b\u003e \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eAI in Clinical Medicine: A Practical Guide for Healthcare Professionals\u003cb\u003e \u003c\/b\u003e\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\n\u003cp\u003eReaders will find that this book: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains.\u003c\/li\u003e \u003cli\u003e Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues.\u003c\/li\u003e \u003cli\u003e Addresses some of the unique challenges associated with AI in clinical medicine including ethical issues, as well as regulatory and privacy concerns.\u003c\/li\u003e \u003cli\u003e 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. \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\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eList of Contributors xii\u003c\/p\u003e \u003cp\u003eForeword xxiv\u003c\/p\u003e \u003cp\u003ePreface xxvi\u003c\/p\u003e \u003cp\u003eMichael Byrne\u003c\/p\u003e \u003cp\u003eAcknowledgements xxx\u003c\/p\u003e \u003cp\u003eRelevant AI Terms xxxii\u003c\/p\u003e \u003cp\u003eAbout the Companion Website xxxvi\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION I Overview of Medical AI: The What, the Why, and the How 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e1 An Introduction to AI for Non-Experts 3\u003cbr\u003e\u003ci\u003eSharib Ali and Michael Byrne\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2 General Framework for Using AI in Clinical Practice 13\u003cbr\u003e\u003ci\u003eJudy L Barkal, Jack W Stockert, Jesse M Ehrenfeld, Charles E Aunger, and Lawrence K Cohen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3 AI and Medical Education 27\u003cbr\u003e\u003ci\u003eAlexandra T Greenhill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION II AI Foundations 39\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e4 History of AI in Clinical Medicine 41\u003cbr\u003e\u003ci\u003eIsaak Kavasidis, Federica Proietto Salanitri, Simone Palazzo, and Concetto Spampinato\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5 History, Core Concepts, and Role of AI in Clinical Medicine 49\u003cbr\u003e\u003ci\u003eChristoph Palm\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6 Building Blocks of AI 56\u003cbr\u003e\u003ci\u003eUlas Bagci, Ismail Irmakci, Ugur Demir, and Elif Keles\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7 Expert Systems for Interpretable Decisions in the Clinical Domain 66\u003cbr\u003e\u003ci\u003eSyed Muhammad Anwar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8 The Role of Natural Language Processing in Intelligence-Based Medicine 73\u003cbr\u003e\u003ci\u003eMaryam Panahiazar, Nolan Chen, Ramin E Beygui, and Dexter Hadley\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION III AI Applied to Clinical Medicine 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eFrontline Care Specialties\u003c\/p\u003e \u003cp\u003e9 AI in Primary Care, Preventative Medicine, and Triage 83\u003cbr\u003e\u003ci\u003eYasmin Abedin, Omer F Ahmad, and Junaid Bajwa\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e10 Do It Yourself: Wearable Sensors and AI for Self-Assessment of Mental Health 94\u003cbr\u003e\u003ci\u003eHarish RaviPrakash and Syed Muhammad Anwar\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11 AI in Dentistry 104\u003cbr\u003e\u003ci\u003eLyudmila Tuzova, Dmitry Tuzoff, and L Eric Pulver\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12 AI in Emergency Medicine 117\u003cbr\u003e\u003ci\u003eJonathon Stewart, Adrian Goudie, Juan Lu, and Girish Dwivedi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eMedical Specialties\u003c\/p\u003e \u003cp\u003e13 AI in Respirology and Bronchoscopy 129\u003cbr\u003e\u003ci\u003eKevin Deasy, Henri Colt, and Marcus Kennedy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e14 AI in Cardiology and Cardiac Surgery 144\u003cbr\u003e\u003ci\u003eLin Gu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e15 AI in the Intensive Care Unit 154\u003cbr\u003e\u003ci\u003eDipayan Chaudhuri and Sandeep S Kohli\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e16 AI in Dermatology 165\u003cbr\u003e\u003ci\u003eAlbert T Young, Jennifer Y Chen, Abhishek Bhattarcharya, and Maria L Wei\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e17 Artificial Intelligence in Gastroenterology 176\u003cbr\u003e\u003ci\u003eTrent Walradt and Tyler M Berzin\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e18 AI in Haematology 184\u003cbr\u003e\u003ci\u003ePaulina B Szklanna, Luisa Weiss, Brian Mac Namee, Rehman Faryal, Barry Kevane, Fionnuala Ní Áinle, and Patricia B Maguire\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e19 AI and Infectious Diseases 192\u003cbr\u003e\u003ci\u003eAlanna Ebigbo and Helmut Messmann\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e20 AI in Precision Medicine: The Way Forward 200\u003cbr\u003e\u003ci\u003ePrasun J Mishra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e21 AI in Paediatrics 210\u003cbr\u003e\u003ci\u003eDarren Gates and Iain Hennessey\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e22 AI Applications in Rheumatology 219\u003cbr\u003e\u003ci\u003eSarah Quidwai, Colm Kirby, and Grainne Murphy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eSurgical Specialties\u003c\/p\u003e \u003cp\u003e23 Perspectives on AI in Anaesthesiology 228\u003cbr\u003e\u003ci\u003eVesela Kovacheva\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e24 AI in Ear, Nose, and Throat 233\u003cbr\u003e\u003ci\u003eJesús Rogel-Salazar and Krishan Ramdoo\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e25 AI in Obstetrics and Gynaecology 239\u003cbr\u003e\u003ci\u003eSam Mathewlynn and Lucy Mackillop\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e26 AI in Ophthalmology 253\u003cbr\u003e\u003ci\u003eNima John Ghadiri\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e27 AI in Orthopaedic Surgery 266\u003cbr\u003e\u003ci\u003eDavid Burns, Aazad Abbas, Jay Toor, and Michael Hardisty\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e28 AI in Surgery 282\u003cbr\u003e\u003ci\u003eJesutofunmi A Omiye, Akshay Swaminathan, and Elsie G Ross\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e29 AI in Urological Oncology: Prostate Cancer Diagnosis with Magnetic Resonance Imaging 298\u003cbr\u003e\u003ci\u003eSherif Mehralivand and Baris Turkbey\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eDiagnostic Specialties\u003c\/p\u003e \u003cp\u003e30 AI in Pathology 307\u003cbr\u003e\u003ci\u003eStephanie Harmon and Kevin Ma\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e31 Introduction to AI in Radiology 318\u003cbr\u003e\u003ci\u003eShu Min Yu and Amarpreet Mahil\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e32 Clinical Applications of AI in Diagnostic Imaging 321\u003cbr\u003e\u003ci\u003eMohammed F Mohammed, Savvas Nicolaou, and Adnan Sheikh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e33 AI for Workflow Enhancement in Radiology 337\u003cbr\u003e\u003ci\u003eSabeena Jalal, Jason Yao, Savvas Nicolaou, and Adnan Sheikh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e34 AI for Medical Image Processing: Improving Quality, Accessibility, and Safety 350\u003cbr\u003e\u003ci\u003eLeonid L Chepelev, Savvas Nicolaou, and Adnan Sheikh\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e35 Future Developments and Assimilation of AI in Radiology 365\u003cbr\u003e\u003ci\u003eAakanksha Agarwal and Timothy É Murray\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSECTION IV Policy Issues, Practical Implementation, and Future Perspectives in Medical AI 377\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAI Regulation, Privacy, Law\u003c\/p\u003e \u003cp\u003e36 Medical Device AI Regulatory Expectations 379\u003cbr\u003e\u003ci\u003eVesna Janic, Helen Simons, and Taimoor Khan\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e37 Privacy Laws in the USA, Europe, and South Africa 395\u003cbr\u003e\u003ci\u003eSara Gerke\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e38 AI-Enabled Consumer-Facing Health Technology 407\u003cbr\u003e\u003ci\u003eAlexandra T Greenhill\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eEthics, Equity, Bias\u003c\/p\u003e \u003cp\u003e39 Biases in Machine Learning in Healthcare 426\u003cbr\u003e\u003ci\u003eDora Huang, Leo Anthony Celi, and Zachary O'Brien\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e40 'Designing' Ethics into AI: Ensuring Equality, Equity, and Accessibility 437\u003cbr\u003e\u003ci\u003eLisa Murphy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eDesign and Implementation\u003c\/p\u003e \u003cp\u003e41 Making AI Work: Designing and Evaluating AI Systems in Healthcare 448\u003cbr\u003e\u003ci\u003eNiels van Berkel\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e42 Demonstrating Clinical Impact for AI Interventions: Importance of Robust Evaluation and Standardized Reporting 459\u003cbr\u003e\u003ci\u003eGagandeep Sachdeva, Diana Han, Pearse A Keane, Alastair K Denniston, and Xiaoxuan Liu\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e43 The Importance and Benefits of Implementing Modern Data Infrastructure for Video-Based Medicine 469\u003cbr\u003e\u003ci\u003eMatt Schwartz and Ian Strug\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eThe Way Forward\u003c\/p\u003e \u003cp\u003e44 AI and the Evolution of the Patient--Physician Relationship 478\u003cbr\u003e\u003ci\u003eJudy L Barkal, Jack W Stockert, Jesse M Ehrenfeld, and Lawrence K Cohen\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e45 Virtual Care and AI: The Whole Is Greater Than the Sum of Its Parts 488\u003cbr\u003e\u003ci\u003eJunaid Kalia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e46 Summing It All Up: Evaluation, Integration, and Future Directions for AI in Clinical Medicine 498\u003cbr\u003e\u003ci\u003eMark A Shapiro and Marty Tenenbaum\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e47 A Glimpse into the Future: AI, Digital Humans, and the Metaverse -- Opportunities and Challenges for Life Sciences in Immersive Ecologies 521\u003cbr\u003e\u003ci\u003eSiddharthan Surveswaran and Lakshmi Deshpande\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 528\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Clinical \u0026amp; internal medicine [\u003ca title=\"See our other books on Clinical \u0026amp; internal medicine\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Clinical%20\u0026amp;%20internal%20medicine%20%5BMJ%5D%22\"\u003eMJ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley-Blackwell","offers":[{"title":"Brand New","offer_id":52515967369496,"sku":"9781119790648","price":81.19,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9781119790648.jpg?v=1786674254","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/ai-in-clinical-medicine-a-practical-guide-for-healthcare-professionals-hardback-9781119790648","provider":"Freshly Printed Books","version":"1.0","type":"link"}