000 04884nam a22003378i 4500
005 20250421080501.0
008 220510s2021 nyua frb 001 0 eng d
020 _a9780367617172 (pbk)
020 _a036761717X (pbk)
020 _a9780367321512 (hbk)
020 _a0367321513 (hbk)
020 _a9780429317415 (ebook)
037 _cProQuest
040 _dNNfCLS
_dAE-Shu
_cUKB
060 4 _aW26.55.A7
_bAR791 2021
245 0 0 _aArtificial intelligence :
_bapplications in healthcare delivery /
_cedited by Sandeep Reddy.
260 _aNew York ;
_aBoca Raton, FL :
_bRoutledge, Taylor & Francis Group,
_c2021.
300 _axvi, 336 pages :
_billustrations (black and white) ;
_c26 cm.
365 _b123.32
_cAED
365 _b472.00
_cAED
500 _a"A Productivity Press book."
504 _aIncludes bibliographical references and index.
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 _a"The re-discovery of the potential of Artificial Intelligence (AI) to improve healthcare delivery and patient outcomes has led to increasing 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 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. Others like researchers and technology professionals will 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"--
_cProvided by publisher.
650 0 _aMedical care.
650 0 _aArtificial intelligence
_xMedical applications.
650 0 _aArtificial intelligence.
700 1 _aReddy, Sandeep,
_eeditor.
942 _cBKS
962 _a000:001:PDF:b1400096:000257:0:0:0:0:0:0
_tFULL TEXT. PDF
_vn
999 _c17945
_d17945