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001 9780429317415
003 FlBoTFG
005 20240213122829.0
006 m o d
007 cr cnu---unuuu
008 201123s2021 nyua ob 001 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781000216868
_q(electronic bk.)
020 _a1000216861
_q(electronic bk.)
020 _a9781000216844
_qelectronic book
020 _a1000216845
_qelectronic book
020 _a9781000216851
_qMobipocket electronic book
020 _a1000216853
_qMobipocket electronic book
020 _a9780429317415
_qelectronic book
020 _a0429317417
_qelectronic book
020 _z9780367321512
020 _z0367321513
024 7 _a10.4324/9780429317415
_2doi
035 _a(OCoLC)1223969759
_z(OCoLC)1222797645
_z(OCoLC)1222806863
035 _a(OCoLC-P)1223969759
050 4 _aR859.7.A78
072 7 _aBUS
_x041000
_2bisacsh
072 7 _aBUS
_x083000
_2bisacsh
072 7 _aMED
_x043000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 4 _a610.28563
_223
245 0 0 _aArtificial intelligence :
_bapplications in healthcare delivery /
_cedited by Sandeep Reddy.
264 1 _aBoca Raton, FL :
_bProductivity Press,
_c2021.
300 _a1 online resource (1 volume) :
_billustrations (black and white).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
505 0 _a1 Algorithmic Medicine -- Sandeep Reddy -- 2 Use of Artificial Intelligence in the Screening and Treatment of Chronic Diseases -- Chaitanya Mamillapalli, Daniel J. Fox, Ramanath Bhandari, Ricardo Correa, Vishnu Vardhan Garla and Rahul Kashyap -- 3 Al and Drug Discovery -- Arash Keshavarzi Arshadi and Milad Salem -- 4 Mammographic screening and Breast Cancer Management-Part 1 -- James Condon and Lyle Palmer -- 5 Mammographic screening and Breast Cancer Management-Part 2 -- Mark R. Trail -- 6 Deep Learing for Drawing Insights from Patient Data for Diagnosis and Treatment -- Dinesh Kumar -- 7 A Simple and Replicable Framework for the Implementaion of Clinical Data Science -- Juan Luis Cruz, Mariano Provencio, Ernestina Menasalvas -- 8 Clinical Artificial Intelligence -- technology application or change management? -- Christopher Pearce, Adam McLeod, Anna Fragkoudi, Natalie Rinehart -- 9 Impacting Perioperative quality and patient safeety usinf Artificial Intelligence -- Piyush Mathur, Jacek B. Cywinski, Francis Papay -- 10 Application of an Ittelligent Stochastic Optimization NonLinear Model -- Gonzalo Hernandez and Fernando A. Crespo -- 11 Audit of Artificial Intelligence Algorithms and it's impact in Relieving Shortage of Specialist Doctors -- Vidur Mahajan and Vasanth Venugopal -- 12 Knowledge Management in a Learning Health System -- Uli K. Chettipally -- 13 Transfer learning to enhance amenorrhea status prediction in cancer and fertility data with missing values -- Xuetong Wu, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Zobaida Edib and Michelle Peate -- 14 AMD Severity Prediction and Explainability Using Image Registration and Deep Embedded Clustering -- Dwarikanath Mahapatra -- 15 Application of Artificial Intelligence in Thyroidology -- Johnson Thomas -- 16 Use of Artificial Intelligence in Sepsis Detection and Management -- Neha Deo and Rahul Kashyap -- 17 Transforming Clinical Trials with Artificial Intelligence -- Stefanie Lip, Shyam Visweswaran and Sandosh Padmanabhan -- 18 An Industry Review of Neuromorphic Chips -- Deepak Kumar Gopalakrishnan, Aditya Ravishankar and Hamid Abdi -- 19 Artificial Empathy -- An Artificial Intelligence Challenge -- Dharmendra Sharma and Balaji Bikshandi
520 _aThe rediscovery of the potential of artificial intelligence (AI) to improve healthcare delivery and patient outcomes has led to anincreasing application of AI techniques such as deep learning, computer vision, natural language processing, and robotics in the healthcare domain. Many governments and health authorities have prioritized the application of AI in the delivery of healthcare. Also, technological giants and leading universities have established teams dedicated to the application of AI in medicine. These trends will mean an expanded role for AI in the provision of healthcare. Yet, there is an incomplete understanding of what AI is and its potential for use in healthcare. This book discusses the different types of AI applicable to healthcare and their application in medicine, population health, genomics, healthcare administration, and delivery. Readers, especially healthcare professionals and managers, will find the book useful to understand the different types of AI and how they are relevant to healthcare delivery. The book provides examples of AI being applied in medicine, population health, genomics, healthcare administration, and delivery and how they can commence applying AI in their health services. Researchers and technology professionals will also find the book useful to note current trends in the application of AI in healthcare and initiate their own projects to enable the application of AI in healthcare/medical domains.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aArtificial intelligence
_xMedical applications.
650 0 _aMedical care.
650 7 _aBUSINESS & ECONOMICS / Management
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Information Management
_2bisacsh
650 7 _aMEDICAL / Hospital Administration & Care
_2bisacsh
700 1 _aReddy, Sandeep,
_eeditor.
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9780429317415
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c5504
_d5504