000			02607nam a2200217 4500
005			20250403174717.0
008			250403b |||||||| |||| 00| 0 eng d
020			_a9781032200880
082			_a610.28563 _bRED
245			_aTranslational application of artificial intelligence in healthcare: _ba textbook
260			_bRoutledge _aBoca Raton _c2024
300			_axii, 131 p.
365			_aGBP _b47.99
490			_aAnalytics and AI for Healthcare
500			_aTable of contents: 1. An Introduction to Artificial Intelligence, Sandeep Reddy 2. Applications of AI in Healthcare, Joe Zhang and Stephen Whebell 3. The Need for AI in Healthcare, Vince Madai 4. Technical Issues in Implementing AI in Healthcare, Sonika Tyagi 5. Barriers and Solutions to Adoption of AI in Healthcare, Piyush Mathur and Bart Geerts 6. Ethics, Regulation and Legal Issues of AI in Healthcare, Sandra Johnson and Sandeep Reddy 7. Translational Challenges of Implementing AI in Healthcare: Solutions and Opportunities, Dwarikanath Mahapatra and Sandeep Reddy 8. The Translational Application of AI in Healthcare, Piyush Mathur and Frank Papay (https://www.routledge.com/Translational-Application-of-Artificial-Intelligence-in-Healthcare---A-Textbook/Reddy/p/book/9781032200880)
520			_aIn 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. (https://www.routledge.com/Translational-Application-of-Artificial-Intelligence-in-Healthcare---A-Textbook/Reddy/p/book/9781032200880)
650			_aMedicine dentistry _922650
650			_aNursing allied health _922651
700			_aReddy, Sandeep [Editor] _922652
942			_cBK _2ddc
999			_c9016 _d9016