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.
