Ai in Clinical Medicine - A Practical Guide for Healthcare Professionals

Informationen zum Autor Dr. Michael F.Byrne, 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. Dr. Nasim Parsa 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. Dr. Alexandra T. Greenhill 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. Dr. Daljeet Chahal 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. Dr. Omer Ahmad 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. Dr. Ulas Bagci 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). Klappentext AI IN CLINICAL MEDICINEAn essential overview of the application of artificial intelligence in clinical medicineAI in Clinical Medicine: A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throughout clinical medicine. AI 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 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.Readers will find that this book:* Describes where AI is currently being used to change practice, and provides successful cases of AI approaches in specific medical domains.* Dives into the actual implementation of AI in the healthcare setting, and addresses reimbursement, workforce, and many other practical issues.* Addresses some of the unique challenges associated with AI 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 AI is successfully deployed, and examples of potential problematic uses of AI and possible risks.From radiology, to pathology, dermatology, endoscopy, robotics, virtual reality, and more, AI 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. Zusammenfassung AI IN CLINICAL MEDICINEAn essential overview of the application of artificial intelligence in clinical medicineAI in Clinical Medicine: A Practical Guide for Healthcare Professionals is the definitive reference book for the emerging and exciting use of AI throug...

List of contents

List of Contributors xii
 
Foreword xxiv
 
Preface xxvi
 
Michael Byrne
 
Acknowledgements xxx
 
Relevant AI Terms xxxii
 
About the Companion Website xxxvi
 
SECTION I Overview of Medical AI: The What, the Why, and the How 1
 
1 An Introduction to AI for Non-Experts 3
Sharib Ali and Michael Byrne
 
2 General Framework for Using AI in Clinical Practice 13
Judy L Barkal, Jack W Stockert, Jesse M Ehrenfeld, Charles E Aunger, and Lawrence K Cohen
 
3 AI and Medical Education 27
Alexandra T Greenhill
 
SECTION II AI Foundations 39
 
4 History of AI in Clinical Medicine 41
Isaak Kavasidis, Federica Proietto Salanitri, Simone Palazzo, and Concetto Spampinato
 
5 History, Core Concepts, and Role of AI in Clinical Medicine 49
Christoph Palm
 
6 Building Blocks of AI 56
Ulas Bagci, Ismail Irmakci, Ugur Demir, and Elif Keles
 
7 Expert Systems for Interpretable Decisions in the Clinical Domain 66
Syed Muhammad Anwar
 
8 The Role of Natural Language Processing in Intelligence-Based Medicine 73
Maryam Panahiazar, Nolan Chen, Ramin E Beygui, and Dexter Hadley
 
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, and Junaid 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 AI in Respirology and Bronchoscopy 129
Kevin Deasy, Henri Colt, and Marcus Kennedy
 
14 AI in Cardiology and Cardiac Surgery 144
Lin Gu
 
15 AI in the Intensive Care Unit 154
Dipayan Chaudhuri and Sandeep S Kohli
 
16 AI in Dermatology 165
Albert T Young, Jennifer Y Chen, Abhishek Bhattarcharya, and Maria L Wei
 
17 Artificial Intelligence in Gastroenterology 176
Trent Walradt and Tyler M Berzin
 
18 AI in Haematology 184
Paulina B Szklanna, Luisa Weiss, Brian Mac Namee, Rehman Faryal, Barry Kevane, Fionnuala Ní Áinle, and Patricia B Maguire
 
19 AI and Infectious Diseases 192
Alanna Ebigbo and Helmut Messmann
 
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, Savvas Nicolaou, and Adnan Sheikh
 
33 AI for Workflow Enhancement in Radiology 337
Sabeena Jalal, Jason Yao, Savvas Nicolaou, and Adnan Sheikh
 
34 AI for Me

Product details

• Authors: Michael F. (University of British Columbia Byrne
• Assisted by: Omer Ahmad (Editor), Ulas Bagci (Editor), Michael F. Byrne (Editor), Daljeet Chahal (Editor), Alexandra T. Greenhill (Editor), Nasim Parsa (Editor), Alexandra T Greenhill et al (Editor)
• Publisher: Wiley, John and Sons Ltd
• Languages: English
• Product format: Hardback
• Released: 12.05.2023
• EAN: 9781119790648
• ISBN: 978-1-119-79064-8
• No. of pages: 592
• Subjects: Natural sciences, medicine, IT, technology > Medicine > Clinical medicine; Medizin, Künstliche Intelligenz, KI, AI, Klinische Medizin, Medical Science, Allgemeine u. Innere Medizin, General & Internal Medicine