{"product_id":"ai-in-clinical-medicine-9781119790648","title":"AI in Clinical Medicine","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\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","brand":"John Wiley and Sons Ltd","offers":[{"title":"Default Title","offer_id":48866416263511,"sku":"9781119790648","price":90.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119790648.jpg?v=1722278538","url":"https:\/\/bookcurl.com\/products\/ai-in-clinical-medicine-9781119790648","provider":"Book Curl","version":"1.0","type":"link"}