Description

Book Synopsis


Table 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 Medical Image Processing: Improving Quality, Accessibility, and Safety 350
Leonid L Chepelev, Savvas 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 AI-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

43 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 Stockert, Jesse M 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

47 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

AI in Clinical Medicine

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    A Hardback by Michael F. Byrne, Nasim Parsa, Alexandra T. Greenhill

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      View other formats and editions of AI in Clinical Medicine by Michael F. Byrne

      Publisher: John Wiley and Sons Ltd
      Publication Date: 12/05/2023
      ISBN13: 9781119790648, 978-1119790648
      ISBN10: 1119790646

      Description

      Book Synopsis


      Table 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 Medical Image Processing: Improving Quality, Accessibility, and Safety 350
      Leonid L Chepelev, Savvas 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 AI-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

      43 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 Stockert, Jesse M 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

      47 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

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