AI in clinical medicine: a practical guide for healthcare professionals
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Main Author: | |
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Format: | Book |
Language: | English |
Published: |
Hoboken
Wiley Blackwell
2023
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Subjects: | |
Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034124811&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034124811&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
Physical Description: | xxxv, 553 Seiten Illustrationen |
ISBN: | 9781119790648 |
Staff View
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Record in the Search Index
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adam_text | Listof Contributors............................................................................... xii Foreword............................................................................................. xxiv Preface ............................................................................................... xxvi Michael F. Byrne Acknowledgements............................................................................. xxx Relevant AI Terms............................................................................. xxxii About the Companion Website........................................................ xxxvi [ON I Overview of Medical AI: The What, the Why, and the How.. 1 An Introduction to AI for Non-Experts................................................... 3 Sharib AH and Michael F. Byrne General Framework for Using AI in Clinical Practice............................. 13 Judy L Barkal, Jack W. Stöckert, Jesse Μ. Ehrenfeld, Charles E. Aunger, and Lawrence K. Cohen AI and Medical Education.................................................................... 27 Alexandra T Greenhill ON II AI Foundations........................................................................ 39 History of AI in Clinical Medicine.......................................................... 41 Isaak Kavasidis, Federica Proietto Salanitri, Simone Palazzo, and Concetto Spampinato History, Core Concepts, and Role of AI in Clinical Medicine...............49 Christoph Palm Building Blocks of AI............................................................................. 56 Ulas Bagci, Ismail
Irmakci, Ugur Demir, and Elif Keles Expert Systems for Interpretable Decisions in the Clinical Domain...... 66 Syed Muhammad Anwar The Role of Natural Language Processing in Intelligence-Based Medicine............................................................................................... 73 Maryam Panahiazar, Nolan Chen, Ramin E. Beygui, and Dexter Hadley
viii Contents SECTION III AI Applied to Clinical Medicine............................................. 81 Frontline Care Specialties 9 AI in Primary Care, Preventative Medicine, and Triage........................ 83 Yasmin Abedin, Omer F. Ahmad, andJunaid Bajwa 10 Do It Yourself: Wearable Sensors and AI for Self-Assessment of Mental Health.............................................................................. 94 Harish RaviPrakash and Syed Muhammad Anwar 11 AI in Dentistry......................................................................................104 Lyudmila Tuzova, Dmitry Tuzoff, and L Eric Pulver 12 AI in Emergency Medicine................................................................... 117 Jonathon Stewart, Adrian Goudie, Juan Lu, and Girish Dwivedi Medical Specialties 13 Alin Respirology and Bronchoscopy....................................................129 Kevin Deasy, Henri Colt, and Marcus Kennedy 14 Alin Cardiology and Cardiac Surgery.................................................. 144 Lin Gu 15 AI in the Intensive Care Unit........................................................... 154 Dipayan Chaudhuri and Sandeep S. Kohli 16 Alin Dermatology............................................................................... 165 Albert T. Young, Jennifer Y. Chen, Abhishek Bhattarcharya, and Maria L Wei 17 Artificial Intelligence in Gastroenterology.......................................... 176 Trent Walradt and Tyler Μ. Berzin 18 AI in Haematology............................................................................... 184 Paulina B.
Szklanna, Luisa Weiss, Brian Mac Nomee, Rehman Faryal, Barry Kevane, Fionnuala NiÁinle, and Patricia В. Maguire 19 AI and Infectious Diseases.................................................................. 192 Alanna Ebigbo and Helmut Messmann
Contents ІХ 20 AI in Precision Medicine: The Way Forward........................................ 200 Prasun J. Mishra 21 AI in Paediatrics.................................................................................. 210 Darren Gates and Iain Hennessey 22 AI Applications in Rheumatology........................................................ 219 Sarah Quidwai, Colm Kirby, and Grainne Murphy Surgical Specialties 23 Perspectives on AI in Anaesthesiology............................................... 228 Vesela Kovacheva 24 AI in Ear, Nose, and Throat................................................................. 233 Jesús Rogel-Salazar and Krishan Ramdoo 25 AI in Obstetrics and Gynaecology...................................................... 239 Sam Mathewlynn and Lucy Mackillop 26 AI in Ophthalmology...........................................................................253 Nima John Ghadiri 27 AI in Orthopaedic Surgery................................................................ 266 David Burns, Aazad Abbas, Jay Toor, and Michael Hardisty 28 AI in Surgery.......................................................................................282 Jesutofunmi A. Omiye, Akshay Swaminathan, and Elsie G. Ross 29 AI in Urological Oncology: Prostate Cancer Diagnosis with Magnetic Resonance Imaging.............................................. 298 Sherif Mehralivand and Baris Turkbey Diagnostic Specialties 30 AI in Pathology.................................................................................... 307 Stephanie Harmon and Kevin Ma 31 Introduction to AI in
Radiology.......................................................... 318 Shu Min Yu and Amarpreet Mahil 32 Clinical Applications of AI in Diagnostic Imaging............................... 321 Mohammed F. Mohammed, Sawas Nicolaou, and Adnan Sheikh
X Contents 33 AI for Workflow Enhancement in Radiology...................................... 337 Sabeena Jalal, Jason Yao, Sawas Nicolaou, and Adnan Sheikh 34 AI for Medical Image Processing: Improving Quality, Accessibility, and Safety................................................................. 350 Leonid L. Chepelev, Sawas Nicolaou, and Adnan Sheikh 35 Future Developments and Assimilation of AI in Radiology............... 365 Aakanksha Agarwal and Timothy É. Murray SECTION IV Policy Issues, Practical Implementation, and Future Perspectives in Medical AI ......................... 377 AI Regulation, Privacy, Law 36 Medical Device AI Regulatory Expectations........................................ 379 Vesna Janic, Helen Simons, and Taimoor Khan 37 Privacy Laws in the USA, Europe, and South Africa............................. 395 Sara Gerke 38 Al-Enabled Consumer-Facing Health Technology............................... 407 Alexandra T Greenhill Ethics, Equity, Bias 39 Biases in Machine Learning in Healthcare.......................................... 426 Dora Huang, Leo Anthony Celi, and Zachary O Brien 40 Designing Ethics into AI: Ensuring Equality, Equity, and Accessibility.............................................................. 437 Lisa Murphy Design and Implementation 41 Making AI Work: Designing and Evaluating AI Systems in Healthcare............................................................... 448 Niels van Berkel 42 Demonstrating Clinical impact for AI Interventions: Importance of Robust Evaluation and Standardized Reporting...................... 459
Gagandeep Sachdeva, Diana Han, Pearse A Keane, Alastair K. Denniston, and Xiaoxuan Liu
Contents 43 xi The Importance and Benefits of Implementing Modern Data Infrastructure for Video-Based Medicine.....................................469 Matt Schwartz and Ian Strug The Way Forward 44 AI and the Evolution of the Patient-Physician Relationship............. 478 Judy L. Barkal, Jack W. Stöckert, Jesse Μ. Ehrenfeld, and Lawrence K. Cohen 45 Virtual Care and AI: The Whole Is Greater Than the Sum of Its Parts.............................................................488 Junaid Kalia 46 Summing It All Up: Evaluation, Integration, and Future Directions for AI in Clinical Medicine............................... 498 Mark A. Shapiro and Marty Tenenbaum Μ A Glimpse into the Future: AI, Digital Humans, and the Metaverse - Opportunities and Challenges for Life Sciences in Immersive Ecologies............................................................................................. 521 Siddharthan Surveswaran and Lakshmi Deshpande Index................................................................................................... 528
An essential overview of the application of artificial intelligence in clinical medicine Al in Clinical Medicine: A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of Al throughout clinical medicine. Al 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 Al, and highlights the importance of robust Al training for physicians. Section 2 reviews foundational ideas and concepts, including the history of Al. Section 3 explores how Al is applied to specific disciplines. Section 4 describes emerging trends, and applications of Al in medicine in the future. Readers will find that this book: Describes where Al is currently being used to change practice, and provides successful cases of Al approaches in specific medical domains. Dives into the actual implementation of Al in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues. Addresses some of the unique challenges associated with Al 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 Al is successfully deployed, and examples of potential problematic uses of Al and possible risks. From radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more, Al 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.
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spellingShingle | Byrne, Michael F. ca. 20./21. Jh AI in clinical medicine a practical guide for healthcare professionals Künstliche Intelligenz (DE-588)4033447-8 gnd Klinische Medizin (DE-588)4134748-1 gnd |
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title | AI in clinical medicine a practical guide for healthcare professionals |
title_auth | AI in clinical medicine a practical guide for healthcare professionals |
title_exact_search | AI in clinical medicine a practical guide for healthcare professionals |
title_full | AI in clinical medicine a practical guide for healthcare professionals lead editor: Michael F. Byrne |
title_fullStr | AI in clinical medicine a practical guide for healthcare professionals lead editor: Michael F. Byrne |
title_full_unstemmed | AI in clinical medicine a practical guide for healthcare professionals lead editor: Michael F. Byrne |
title_short | AI in clinical medicine |
title_sort | ai in clinical medicine a practical guide for healthcare professionals |
title_sub | a practical guide for healthcare professionals |
topic | Künstliche Intelligenz (DE-588)4033447-8 gnd Klinische Medizin (DE-588)4134748-1 gnd |
topic_facet | Künstliche Intelligenz Klinische Medizin Aufsatzsammlung |
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