Artificial Intelligence and Machine Learning in Healthcare

Häftad, Engelska, 2025

2 599 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt för medlemmar vid köp för minst 249 kr.

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.

Provides an overview of AI and ML to the medical practitioner who may not be well versed in these fields
Encompasses a thorough review of what has been accomplished and demonstrated recently in the fields of AI and ML in healthcare
Discusses the future of AI and ML in healthcare, with a review of possible wearable technology and software and how they may be used for medical care

Produktinformation

Utgivningsdatum2025-12-08
Mått191 x 235 x undefined mm
Vikt450 g
FormatHäftad
SpråkEngelska
Antal sidor258
FörlagElsevier Science
ISBN9780128225189

Tillhör följande kategorier

Folkhälsa och hälsopedagogik inom Medicin
Systemvetenskap och AI inom Data och IT
Biokemisk teknik inom Naturvetenskap och teknik

Arman Kilic, MD is Professor and Chief of Cardiothoracic Surgery and Chief of the Heart and Vascular Integrated Center of Clinical Excellence at the Medical University of South Carolina. He is the John Kratz Endowed Chair in Cardiac Surgery and has published over 350 peer reviewed manuscripts, has served as Principal Investigator on several clinical trials, and is a regularly invited national and international speaker on AI and machine learning in cardiovascular healthcare. He is a member of multiple editorial boards and has received several major extramural grants in AI.

Part I: History and Basic Overview of AI and ML1. Historical Background of AI and ML2. Introduction to AI and ML Techniques3. Supervised Learning4. Unsupervised Learning5. Deep LearningPart II: Applications of AI and ML in Healthcare6. Primary Care7. Ophthalmology8. Oncology9. Radiology10. Emergency Medicine11. Intensive Care Unit12. Cardiovascular Medicine and Surgery13. Data Extraction and Quality Control in the Electronic Health RecordPart III: The Future of Healthcare with AI14. Wearable Technology15. Software for Automated Interpretation of Medical Imaging16. Software for Clinical Decision Support17. The Impact of AI on Healthcare FinancePart IV: Challenges to Adopting AI in Healthcare18. Ethical Challenges19. Legal Processes Required to Implement AI in Healthcare20. Gaining Patients’ Trust in AI for their Healthcare