000			03804cam a2200529M 4500
001			9781032626345
003			FlBoTFG
005			20251030122303.0
006			m o d
007			cr |n|||||||||
008			250124s2025 xx o 0|| 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781040276594 _q(electronic bk.)
020			_a1040276598 _q(electronic bk.)
020			_a9781032626345 _q(electronic bk.)
020			_a1032626348 _q(electronic bk.)
020			_a9781040276600 _q(electronic bk. : EPUB)
020			_a1040276601 _q(electronic bk. : EPUB)
020			_z1032598980
020			_z9781032598987
020			_z103262633X
020			_z9781032626338
024	7		_a10.1201/9781032626345 _2doi
035			_a(OCoLC)1484555613
035			_a(OCoLC-P)1484555613
050		4	_aR859.7.A78
072		7	_aMED _x117000 _2bisacsh
072		7	_aCOM _x004000 _2bisacsh
072		7	_aMED _x019000 _2bisacsh
072		7	_aV _2bicssc
245	0	0	_aEXPLAINABLE ARTIFICIAL INTELLIGENCE IN MEDICAL IMAGING _h[electronic resource] : _bfundamentals and applications.
260			_a[S.l.] : _bAUERBACH PUBLICATIONS, _c2025.
300			_a1 online resource
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. 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.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aArtificial intelligence _xMedical applications. _965209
650		0	_aDiagnostic imaging.
650		7	_aCOMPUTERS / Artificial Intelligence _2bisacsh
650		7	_aMEDICAL / Diagnostic Imaging _2bisacsh _994973
700	1		_aKhan, Amjad Rehman. _1https://id.oclc.org/worldcat/entity/E39PCjMg9DrPWR4ChhkX4f96jC _995869
700	1		_aSaba, Tanzila. _1https://id.oclc.org/worldcat/entity/E39PCjDBdygm8GRHwC9ttJ9jyd _970079
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781032626345
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cE-Books
999			_c68195 _d68195