UID:
almahu_9949641801702882
Format:
1 online resource :
,
illustrations.
Edition:
First edition.
ISBN:
9781003816201
,
9781003262152
,
1003262155
,
1003816207
,
9781003816195
,
1003816193
Series Statement:
Analytics and AI for healthcare
Content:
In 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 clearlyaddresses 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.
Note:
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
Language:
English
DOI:
10.1201/9781003262152
URL:
https://www.taylorfrancis.com/books/9781003262152
Bookmarklink
