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Explainable Artificial Intelligence in the Healthcare Industry

By: Abhishek Kumar (Edited by) , India) Dubey Ashutosh Kumar (Edited by) , Chetan Sharma (Edited by) , Prasenjit Das (Edited by) , T. Ananth Kumar (Edited by)

Extended Catalogue

Ksh 42,750.00

Format: Hardback or Cased Book

ISBN-10: 1394249268

ISBN-13: 9781394249268

Publisher: John Wiley & Sons Inc

Imprint: Wiley-Scrivener

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 28th, 2025

Publication Status: Active

Product extent: 704 Pages

Weight: 1134.00 grams

Product Classification / Subject(s): Computer science

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Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource. Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs. Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.

Discover the essential insights and practical applications of explainable AI in healthcare that will empower professionals and enhance patient trust with Explainable AI in the Healthcare Industry, a must-have resource.

Explainable AI (XAI) has significant implications for the healthcare industry, where trust, accountability, and interpretability are crucial factors for the adoption of artificial intelligence. XAI techniques in healthcare aim to provide clear and understandable explanations for AI-driven decisions, helping healthcare professionals, patients, and regulatory bodies to better comprehend and trust the AI models’ outputs.

Explainable AI in the Healthcare Industry presents a comprehensive exploration of the critical role of explainable AI in revolutionizing the healthcare industry. With the rapid integration of AI-driven solutions in medical practice, understanding how these models arrive at their decisions is of paramount importance. The book delves into the principles, methodologies, and practical applications of XAI techniques specifically tailored for healthcare settings.


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