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Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection

Contributor(s): Singh, Akansha (Editor), Singh, Krishna Kant (Editor), Izonin, Ivan (Editor)

ISBN: 9780443247880

Publisher: Academic Press

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$200.00
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Pub Date: November 18, 2024

Lexile Code: 0000

Target Age Group: NA to NA

Physical Info: 0.63" H x 8.98" L x 5.98" W ( 1.10 lbs) 314 pages

BISAC Categories:

Science | Life Sciences | Biology

Descriptions, Reviews, etc.

Description: Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection provides clear guidance on building trustworthy Artificial Intelligence systems for healthcare. The book focuses on using Artificial Intelligence to improve diagnosis, prevent diseases, and personalize patient care. It addresses potential drawbacks, like reduced human interaction and ethical concerns, offering solutions for ethical and transparent Artificial Intelligence use in medicine. Across eight chapters, the book explores Artificial Intelligence's current status, its importance, and associated risks in healthcare. It explains designing reliable Artificial Intelligence for healthcare, tackling biases, and safeguarding patient privacy in the age of big data. The legal and regulatory landscape is also covered. One chapter is dedicated to showcasing real-world examples of responsible Artificial Intelligence in healthcare, highlighting best practices. The book concludes by summarizing key takeaways and discussing future challenges. "Responsible and Explainable Artificial Intelligence in Healthcare: Ethics and Transparency at the Intersection" is a valuable resource for healthcare professionals, policymakers, computer scientists, and ethicists concerned about Artificial Intelligence's ethical and societal impact on medicine.

Brief description: Dr. Ivan Izonin is an Associate Professor at the Department of Artificial Intelligence, Lviv Polytechnic National University, Ukraine. He holds a Ph.D. in computer science and has several years of experience in teaching, research, and development. Dr. Izonin's research interests include AI, healthcare, machine learning, and data mining. He has contributed to various international journals and conferences and has authored several research papers, including chapters in books. His work on text mining and natural language processing has been widely cited in the academic community. Dr. Izonin is well-respected in his field and has served as an Editor, Guest Editor, reviewer for several international journals and conferences

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