AI in Clinical Medicine: A Practical Guide for Healthcare Professionals (Hardcover)

· 제목 : AI in Clinical Medicine: A Practical Guide for Healthcare Professionals (Hardcover) 
· 분류 : 외국도서 > 의학 > 내과학
· ISBN : 9781119790648
· 쪽수 : 592쪽

Dedication

Acknowledgements

Contributors

Relevant AI Terms

Foreword

Preface

Michael F. Byrne

 

Section 1: Overview of Medical AI: The What, the Why, and the How

 

1             An Introduction to AI for Non-Experts

Sharib Ali and Michael Byrne

2             General Framework for Using AI in Clinical Practice

Judy L. Barkal, Jack W. Stockert, Jesse M. Ehrenfeld, Charles E. Aunger, and Lawrence K. Cohen

3             AI and Medical Education

Greenhill

 

Section 2: AI Foundations 

 

4             History of AI in Clinical Medicine

Isaak Kavasidis, F. Proietto Salanitri, Simone Palazzo, Concetto Spampinato

5             History, Core Concepts, and Role of AI in Clinical Medicine

Christoph Palm

6             Building Blocks of AI

Ulas Bagci, Ismail Irmakci, Ugur Demir, Elif Keles

7             Expert Systems for Interpretable Decisions in the Clinical Domain

Syed Muhammad Anwar

8             The Role of Natural Language Processing in AI-Based Medicine

Maryam Panahiazar, Nolan Chen, Ramin E. Beygui, Dexter Hadley

 

Section 3: AI Applied to Clinical Medicine

 

Frontline Care Specialties

 

9             AI in Primary Care, Preventative Medicine, and Triage

Yasmin Abedin, Omer F. Ahmad, Junaid Bajwa

10           Do It Yourself: Wearable Sensors and AI for Self-Assessment of Mental Health

Harish RaviPrakash and Syed Muhammad Anwar

11           AI in Dentistry

Lyudmila Tuzova, Dmitry Tuzoff, L. Eric Pulver

12           AI in Emergency Medicine

Jonathon Stewart, Adrian Goudie, Juan Lu, Girish Dwivedi

 

Medical Specialties

 

13           AI in Bronchoscopy

Kevin Deasy, Henri Colt, Marcus Kennedy

14           AI in Cardiology and Cardiac Surgery

Lin Gu

15           AI in the Intensive Care Unit

Dipayan Chaudhuri, Sandeep S. Kohli

16           AI in Dermatology

Albert T. Young, Jennifer Y. Chen, Abhishek Bhattarcharya, Maria L. Wei

17           AI in Gastroenterology

Trent Walradt, Tyler M. Berzin

18           AI in Haematology

Paulina B. Szklanna, Luisa Weiss, Brian Mac Namee, Rehman Faryal, Barry Kevane, Fionnuala Ní Áinle, Patricia B. Maguire

19           AI in Infectious Diseases

Alanna Ebigbo, Helmut Messmann

20           AI in Precision Medicine: The Way Forward

Prasun Mishra

21           AI in Paediatrics

Darren Gates, Iain Hennessey

22           AI Applications in Rheumatology

Sarah Quidwai, Colm Kirby, Grainne Murphy

 

Surgical Specialties

 

23           Perspectives on AI in Anaesthesiology

Vesela Kovacheva

24           AI in Ear, Nose, and Throat

Jesús Rogel-Salazar, Krishan Ramdoo

25           AI in Obstetrics and Gynaecology

Sam Mathewlynn, Lucy Mackillop

26           AI in Ophthalmology

Nima John Ghadiri

27           AI in Orthopaedic Surgery

David Burns, Aazad Abbas, Jay Toor, Michael Hardisty

28           AI in Surgery

Jesutofunmi A. Omiye, Akshay Swaminathan, Elsie G. Ross

29           AI in Urological Oncology: Prostate Cancer Diagnosis with Magnetic Resonance Imaging

Sherif Mehralivand, Baris Turkbey

 

Diagnostic Specialties

 

30           AI in Pathology

Stephanie Harmon, Kevin Ma

31           Introduction to AI in Radiology

Shu Min Yu, Amarpreet Mahil

32           Clinical Applications of AI in Diagnostic Imaging

Mohammed F. Mohammed, Shu Min Yu, Amarpreet Mahil, Savvas Nicolaou, Adnan Sheikh

33           AI for Workflow Enhancement in Radiology

Sabeena Jalal, Jason Yao, Shu Min Yu, Amarpreet Mahil, Savvas Nicolaou, Adnan Sheikh

34           AI for Medical Image Processing in Radiology: Improving Quality, Accessibility, and Safety

Leonid L. Chepelev, Shu Min Yu, Amarpreet Mahil, Savvas Nicolaou, Adnan Sheikh

35           Future Developments and Assimilation of AI in Radiology

Aakanksha Agarwal, Timothy É. Murray

 

Section 4: Policy Issues, Practical Implementation, and Future Perspectives in Medical AI

 

AI Regulation, Privacy, Law

 

36           Medical AI Regulatory Expectations

Vesna Janic, Helen Simons, Taimoor Khan

37           Privacy Laws in the USA, Europe, and South Africa

Sara Gerke

38           AI-Enabled Consumer-Facing Health Technology

Alexandra T. Greenhill

 

Ethics, Equity, Bias

 

39           Biases in Machine Learning in Healthcare

Dora Huang, Leo Anthony Celi, Zachary O’Brien

40           ‘Designing’ Ethics into AI: Ensuring Equality, Equity, and Accessibility

Lisa Murphy

 

Design and Implementation

 

41           Making AI Work: Designing and Evaluating AI Systems in Healthcare

Niels van Berkel

42           Demonstrating Clinical Impact for AI Interventions: Importance of Robust Evaluation and Standardized Reporting

Gagandeep Sachdeva, Diana Han, Pearse A. Keane, Alastair K. Denniston, Xiaoxuan Liu

43           The Importance and Benefits of Implementing Modern Data Infrastructure for Video-Based Medicine

Matt Schwartz, Ian Strug

 

The Way Forward

 

44           AI and Evolution of the Patient–Physician Relationship

Judy L. Barkal, Jack W. Stockert, Jesse M. Ehrenfeld, Lawrence K. Cohen

45          Virtual Care and AI: The Whole Is Greater Than the Sum of Its Parts

Junaid Kalia

46          Summing It All Up: Evaluation, Integration, and Future Directions for AI in Clinical Medicine

Mark A. Shapiro, Marty Tenenbaum 

47          A Glimpse into the Future: AI, Digital Humans, and the Metaverse – Opportunities and Challenges for Life Sciences in Immersive Ecologies

Siddharthan Surveswaran, Lakshmi Deshpande

 

Index