Byrne Michael F., Parsa N., Greenhill A.T. et al. (eds.) AI in Clinical Medicine: A Practical Guide for Healthcare Professionals

Wiley-Blackwell, 2023. — 1473 p. — ISBN 9781119790679.AI 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. 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.Overview of Medical AI: The What, the Why, and the How
An Introduction to AI for Non‐Experts
General Framework for Using AI in Clinical Practice
AI and Medical Education
AI Foundations
History of AI in Clinical Medicine
History, Core Concepts, and Role of AI in Clinical Medicine
Building Blocks of AI
Expert Systems for Interpretable Decisions in the Clinical Domain
The Role of Natural Language Processing in Intelligence‐Based Medicine
AI Applied to Clinical Medicine
AI in Primary Care, Preventative Medicine, and Triage
Do It Yourself: Wearable Sensors and AI for Self‐Assessment of Mental Health
AI in Dentistry
AI in Emergency Medicine
AI in Respirology and Bronchoscopy
AI in Cardiology and Cardiac Surgery
AI in the Intensive Care Unit
AI in Dermatology
Artificial Intelligence in Gastroenterology
AI in Haematology
AI and Infectious Diseases
AI in Precision Medicine: The Way Forward
AI in Paediatrics
AI Applications in Rheumatology
Perspectives on AI in Anaesthesiology
AI in Ear, Nose, and Throat
AI in Obstetrics and Gynaecology
AI in Ophthalmology
AI in Orthopaedic Surgery
AI in Surgery
AI in Urological Oncology: Prostate Cancer Diagnosis with Magnetic Resonance Imaging
AI in Pathology
Introduction to AI in Radiology
Clinical Applications of AI in Diagnostic Imaging
AI for Workflow Enhancement in Radiology
AI for Medical Image Processing: Improving Quality, Accessibility, and Safety
Future Developments and Assimilation of AI in Radiology
Policy Issues, Practical Implementation, and Future Perspectives in Medical AI
Medical Device AI Regulatory Expectations
Privacy Laws in the USA, Europe, and South Africa
AI‐Enabled Consumer‐Facing Health Technology
Biases in Machine Learning in Healthcare
‘Designing’ Ethics into AI: Ensuring Equality, Equity, and Accessibility
Making AI Work: Designing and Evaluating AI Systems in Healthcare
Demonstrating Clinical Impact for AI Interventions: Importance of Robust Evaluation and Standardized Reporting
The Importance and Benefits of Implementing Modern Data Infrastructure for Video‐Based Medicine
AI and the Evolution of the Patient–Physician Relationship
Virtual Care and AI: The Whole Is Greater Than the Sum of Its Parts
Summing It All Up: Evaluation, Integration, and Future Directions for AI in Clinical Medicine
A Glimpse into the Future: AI, Digital Humans, and the Metaverse – Opportunities and Challenges for Life Sciences in Immersive Ecologies