01877    a2200325   450000500170000000800410001702000220005803700360008004000070011604100080012307200150013107200130014607200150015907200130017407200110018707200130019807200210021107200210023207200210025307200210027407200210029507200190031610000240033524500850035925000060044426000350045030000100048552010390049599900170153420250526161935.0250430042023xx        38           eng    a9781032200880qBC  bTaylor & FranciscGBP 47.99fBB  a01  aeng7 aUYQ2thema7 aM2thema7 aUMB2thema7 aUYQ2bic7 aM2bic7 aUMB2bic7 aMED0030402bisac7 aCOM0320002bisac7 aCOM0940002bisac7 aCOM0120402bisac7 aCOM0140002bisac7 a610.2852bisac1 aSandeep Reddy9121610aTranslational Application of Artificial Intelligence in Healthcareb- A Textbook  a1  bChapman and Hall/CRCc20231211  a132 p  bIn the era of 'Algorithmic Medicine', the integration of Artificial Intelligence (AI) in healthcare holds immense potential to address critical challenges faced by the industry. Drawing upon the expertise and experience of the authors in medicine, data science, medical informatics, administration, and entrepreneurship, this textbook goes beyond theoretical discussions to outline practical steps for transitioning AI from the experimental phase to real-time clinical integration. Using the Translational Science methodology, each chapter of the book concisely and clearly addresses the key issues associated with AI implementation in healthcare. Covering technical, clinical, ethical, regulatory, and legal considerations, the authors present evidence-based solutions and frameworks to overcome these challenges. Engaging case studies and a literature review of peer-reviewed studies and official documents from reputed organizations provide a balanced perspective, bridging the gap between AI research and actual clinical practice.  c10735d10735