000			01801nam a22002537a 4500
005			20260608122028.0
008			260608s2025 |||||||| |||| 00| 0 eng d
020			_a9781032626338
040			_cPK-LaUMT
082			_a006.336160754 _bEXP-
245	0	0	_aExplainable artificial intelligence in medical imaging : _bfundamentals and applications / _cedited by Amjad Rehman Khan and Tanzila Saba
260			_aBoca Raton : _bCRC Press, _c2025
300			_axviii, 250 p.
490			_aAdvances in computational collective intelligence
500			_aIncludes bibliographical references and index.
520			_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.
546			_aEng
650			_aDiagnostic Imaging
650			_aMedical imaging _95895
650			_aMedical informatics _98100
700	0		_aAmjad Rehman Khan _912420
700	0		_aTanzila Saba _912421
942			_cBK
999			_c141020 _d141020