01725nam a22002297a 450000500170000000800410001702000180005804000130007608200240008924501400011326000350025330000180028849000540030650000510036052009700041154600080138165000230138965000200141265000240143270000220145670000170147820260608122028.0260608s2025    |||||||| |||| 00| 0 eng d  a9781032626338  cPK-LaUMT  a006.336160754bEXP-00aExplainable artificial intelligence in medical imaging :bfundamentals and applications /cedited by Amjad Rehman Khan and Tanzila Saba  aBoca Raton :bCRC Press,c2025  axviii, 250 p.  aAdvances in computational collective intelligence  aIncludes bibliographical references and index.  aArtificial 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.  aEng  aDiagnostic Imaging  aMedical imaging  aMedical informatics0 aAmjad Rehman Khan0 aTanzila Saba