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007 cr |nu|||unuuu
008 230918s2024 si ob 001 0 eng d
010 _a 2023043573
020 _a9789811284113
_q(ebook)
020 _a9811284113
_q(ebook)
020 _z9789811284106
_q(hbk.)
020 _z9789811284564
_q(pbk.)
040 _aWSPC
_beng
_cWSPC
050 4 _aR859.7.A78
072 7 _aBUS
_x039000
_2bisacsh
082 0 4 _a610.285
_223
049 _aMAIN
100 1 _aQuinn, Campion.
245 1 0 _aArtificial intelligence in medicine :
_ba practical guide for clinicians /
_cCampion Quinn.
260 _aSingapore :
_bWorld Scientific,
_cc2024.
300 _a1 online resource (viii, 345 p.)
504 _aIncludes bibliographical references and index.
505 0 _aArtificial intelligence in medicine: revolutionizing healthcare -- What is artificial intelligence? -- An overview of data collection, preprocessing, and feature extraction in AI -- The benefits and opportunities of AI in medicine -- Machine learning -- Limitations in algorithmic generalizability -- Explainable AI and interpretability in medical AI models -- Ethical implications of AI in medicine -- Regulatory and legal frameworks for AI in medicine -- Healthcare worker displacement in the era of AI -- AI tools and applications in clinical practice -- Implementing AI in clinical settings -- Evaluating AI models and algorithms in healthcare -- Human-machine interaction and user experience design in AI systems for healthcare -- Patient perspectives and engagement with AI in healthcare -- AI and clinical decision support -- Collaborative learning and knowledge sharing in AI-driven healthcare -- Future trends and emerging technologies in AI-driven healthcare -- Why AI is not more prevalent in medical institutions today?.
520 _a""Artificial Intelligence in Medicine" is a comprehensive guide exploring the transformative impact of artificial intelligence (AI) in healthcare. The book delves into the foundational concepts and historical development of AI in medicine, highlighting data collection, preprocessing, and feature extraction crucial for medical applications. It showcases the benefits of AI, such as accurate diagnoses and personalized treatments, while addressing ethical and regulatory considerations. The book examines the practical aspects of AI implementation in clinical practice and emphasizes the human aspect of AI in healthcare and patient engagement. Readers can gain insights into the role of AI in clinical decision support, collaborative learning, and knowledge sharing. It concludes with a glimpse into the future of AI-driven healthcare, exploring the emerging technologies and trends in the rapidly evolving field of AI in medicine"--
_cPublisher's website.
538 _aMode of access: World Wide Web.
538 _aSystem requirements: Adobe Acrobat Reader.
650 0 _aArtificial intelligence
_xMedical applications.
650 0 _aMedical informatics.
655 0 _aElectronic books.
856 4 0 _uhttps://www.worldscientific.com/worldscibooks/10.1142/13618#t=toc
942 _cE-BOOK
999 _c49764
_d49764