Artificial Intelligence and Machine Learning in Healthcare

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Arman Kilic (Director, Surgical Quality and Analytics for University of Pittsburgh Division of Cardiac Surgery, USA) Artur Dubrawski (Endowed Alumni Research Professor Chair of Computer Science and Director, Auton Lab, Carnegie Mellon University, USA)

Artificial Intelligence and Machine Learning in Healthcare

Arman Kilic (Director, Surgical Quality and Analytics for University of Pittsburgh Division of Cardiac Surgery, USA), Artur Dubrawski (Endowed Alumni Research Professor Chair of Computer Science and Director, Auton Lab, Carnegie Mellon University, USA)

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English

Academic Press Inc
01 October 2024

Biotechnology industries; Personal & public health; Machine learning

Artificial Intelligence and Machine Learning in Healthcare discusses the potential of groundbreaking technologies on the delivery of care. A lot have been said about how artificial intelligence and machine learning can improve healthcare, however there are still many doubts and concerns among health professionals, all of which are addressed in this book. Sections cover History and Basic Overview of AI and ML, with differentiation of supervised, unsupervised and deep learning, Applications of AI and ML in Healthcare, The Future of Healthcare with AI, Challenges to Adopting AI in Healthcare, and ethics and legal processes for implementation.

This book is a valuable resource for bioinformaticians, clinicians, graduate students and several members of biomedical field who needs to get up to speed on the revolutionary role of AI and Machine Learning in healthcare.

Edited by: Arman Kilic (Director Surgical Quality and Analytics for University of Pittsburgh Division of Cardiac Surgery USA), Artur Dubrawski (Endowed Alumni Research Professor Chair of Computer Science and Director, Auton Lab, Carnegie Mellon University, USA)
Imprint: Academic Press Inc
Country of Publication: United States
Dimensions: Height: 235mm, Width: 191mm,
ISBN: 9780128225189
ISBN 10: 0128225181
Pages: 300
Publication Date: 01 October 2024
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

Part I: History and Basic Overview of AI and ML 1. Historical Background of AI and ML 2. Introduction to AI and ML Techniques 3. Supervised Learning 4. Unsupervised Learning 5. Deep Learning Part II: Applications of AI and ML in Healthcare 6. Primary Care 7. Ophthalmology 8. Oncology 9. Radiology 10. Emergency Medicine 11. Intensive Care Unit 12. Cardiovascular Medicine and Surgery 13. Data Extraction and Quality Control in the Electronic Health Record Part III: The Future of Healthcare with AI 14. Wearable Technology 15. Software for Automated Interpretation of Medical Imaging 16. Software for Clinical Decision Support 17. The Impact of AI on Healthcare Finance Part IV: Challenges to Adopting AI in Healthcare 18. Ethical Challenges 19. Legal Processes Required to Implement AI in Healthcare 20. Gaining Patients’ Trust in AI for their Healthcare

Arman Kilic, MD, is Director, Surgical Quality and Analytics for University of Pittsburgh Division of Cardiac Surgery, and Co-Director, Center for Cardiovascular Outcomes and Innovation, University of Pittsburgh Medical Center. Dr. Kilic works on a national task force for artificial intelligence and machine learning in cardiac surgery and has extensive collaboration with internationally renowned machine learning experts at Carnegie Mellon University, the #1 ranked machine learning program according to U.S. News & World Report. He has a vast network of national and international colleagues who can collaborate on this project and contribute as authors of chapters. Dr. Kilic has 158 peer-reviewed publications, 14 book chapters, and 111 meeting presentations.