03804cam a2200529M 4500 9781032626345 FlBoTFG 20251030122303.0 m o d cr |n||||||||| 250124s2025 xx o 0|| 0 eng d OCoLC-P eng OCoLC-P 9781040276594 (electronic bk.) 1040276598 (electronic bk.) 9781032626345 (electronic bk.) 1032626348 (electronic bk.) 9781040276600 (electronic bk. : EPUB) 1040276601 (electronic bk. : EPUB) 1032598980 9781032598987 103262633X 9781032626338 10.1201/9781032626345 doi (OCoLC)1484555613 (OCoLC-P)1484555613 R859.7.A78 MED 117000 bisacsh COM 004000 bisacsh MED 019000 bisacsh V bicssc EXPLAINABLE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING [electronic resource] : fundamentals and applications. [S.l.] : AUERBACH PUBLICATIONS, 2025. 1 online resource Artificial intelligence (AI) in medicine is rising, and it holds tremendous potential for more accurate findings and novel solutions to complicated medical issues. Biomedical AI has potential, especially in the context of precision medicine, in the healthcare industrys next phase of development and advancement. Integration of AI research into precision medicine is the future; however, the human component must always be considered. Explainable Artificial Intelligence in Medical Imaging: Fundamentals and Applications focuses on the most recent developments in applying artificial intelligence and data science to health care and medical imaging. Explainable artificial intelligence is a well-structured, adaptable technology that generates impartial, optimistic results. New healthcare applications for explicable artificial intelligence include clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. This book overviews the principles, methods, issues, challenges, opportunities, and the most recent research findings. It makes the emerging topics of digital health and explainable AI in health care and medical imaging accessible to a wide audience by presenting various practical applications. Presenting a thorough review of state-of-the-art techniques for precise analysis and diagnosis, the book emphasizes explainable artificial intelligence and its applications in healthcare. The book also discusses computational vision processing methods that manage complicated data, including physiological data, electronic medical records, and medical imaging data, enabling early prediction. Researchers, academics, business professionals, health practitioners, and students all can benefit from this books insights and coverage. OCLC-licensed vendor bibliographic record. Artificial intelligence Medical applications. 65209 Diagnostic imaging. COMPUTERS / Artificial Intelligence bisacsh MEDICAL / Diagnostic Imaging bisacsh 94973 Khan, Amjad Rehman. https://id.oclc.org/worldcat/entity/E39PCjMg9DrPWR4ChhkX4f96jC 95869 Saba, Tanzila. https://id.oclc.org/worldcat/entity/E39PCjDBdygm8GRHwC9ttJ9jyd 70079 Taylor & Francis https://www.taylorfrancis.com/books/9781032626345 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf E-Books 68195 68195