Unlock the Power of AI in Clinical Medicine: A Comprehensive Guide

Authored by Michael F. Byrne, Nasim Parsa, Alexandra Greenhill, Daljeet Chahal, Omer Ahmad, and Ulas Bagci, “AI in Clinical Medicine: A Practical Guide for Healthcare Professionals” is the ultimate reference book for healthcare professionals looking to leverage the transformative potential of artificial intelligence (AI) in clinical medicine.

This definitive guide is divided into four sections, providing a structured approach to understanding the application of AI in clinical medicine:

Section 1: AI Fundamentals

Learn the essential vocabulary, framework, and importance of robust AI training for physicians, laying the groundwork for successful AI implementation in clinical medicine.

Section 2: Foundational Concepts

Explore the history of AI, foundational ideas, and concepts that shape the current AI landscape in clinical medicine.

Section 3: AI in Discipline-Specific Medicine

Delve into the practical applications of AI in various medical disciplines, including radiology, pathology, dermatology, endoscopy, robotics, virtual reality, and more, highlighting successful AI approaches and case studies.

Section 4: Emerging Trends and Future Applications

Discover the future of AI in clinical medicine, including emerging trends, potential challenges, and opportunities for growth, ensuring healthcare professionals stay ahead of the curve.

This comprehensive guide addresses key challenges associated with AI in clinical medicine, such as:

• Ethical considerations and regulatory frameworks
• Privacy concerns and data management
• Reimbursement and workforce implications

“AI in Clinical Medicine: A Practical Guide for Healthcare Professionals” is an essential resource for:

• Medical students seeking to understand the role of AI in clinical medicine
• Clinicians looking to implement AI solutions in their practice
• Academics and researchers exploring the latest advancements in AI
• Policymakers shaping the future of healthcare with AI

This book provides:

• Bulleted lists of learning objectives and key insights
• Clinical vignettes and case studies highlighting AI successes
• Brief examples of AI applications and potential challenges

Publisher: Wiley-Blackwell

Edition: 1st edition

Publication Date: February 13, 2023

Language: English

Format: Hardcover

Pages: 592

ISBN-10: 1119790646

ISBN-13: 978-1119790648