Description

AI in Healthcare: Navigating the Legal Maze When Algorithms Fail" is a comprehensive

exploration of the intricate intersection between artificial intelligence and the legal landscape

in the realm of medicine. In this thought-provoking book, readers embark on a journey

through the evolving landscape of healthcare where advanced AI algorithms are being

harnessed to revolutionize patient care, diagnosis, treatment, and research.

However, as AI becomes increasingly integrated into medical practice, inevitable questions

and challenges arise. What happens when AI algorithms make errors or yield unexpected

outcomes? Who should be held responsible when things go wrong, and how can legal

liability be determined in such complex scenarios?

This book delves into these pressing issues, offering a deep dive into the ethical, legal, and

regulatory considerations surrounding AI in healthcare. Drawing on real-world case studies

and expert insights, it provides a clear and accessible overview of the current state of AI in

medicine, the potential risks involved, and the ways in which legal systems are grappling

with these challenges.