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Applications of Large Language Models (LLM) in Healthcare Systems : Opportunities, Challenges, and Ethical Considerations.

Taylor & Francis eBooks Complete Available online

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Format:
Book
Author/Creator:
Zamanifar, Azadeh.
Contributor:
Faezipour, Miad.
Soleimanian Gharehchopogh, Farhad.
Farhadi, Amirfarhad.
Taylor & Francis eBooks
Language:
English
Subjects (All):
Artificial intelligence--Medical applications.
Artificial intelligence.
Physical Description:
1 online resource (305 p.)
Place of Publication:
Boca Raton, FL : CRC Press, 2025.
Contents:
Cover
Half Title
Title Page
Copyright Page
Table of Contents
Preface
List of Contributors
Editor bios
Chapter 1 Large language models in clinical applications
Chapter 2 Administrative efficiency: Providing healthcare operations
Chapter 3 LLMs in drug discovery, clinical trial analysis, and medical literature review
Chapter 4 LLMs for personalized medicine and treatment planning
Chapter 5 The large language models for public health surveillance and outbreak
Chapter 6 The role of large language models in delivering artificial intelligence-based psychological interventions and therapies
Chapter 7 Explainable AI (XAI): Making LLM decisions transparent and trustworthy
Chapter 8 Ethical implications for LLMs
Chapter 9 Limitations of large language models in healthcare systems
Chapter 10 Future trends and innovations in healthcare systems using LLMs
Index
Notes:
Electronic reproduction. London Available via World Wide Web.
Other Format:
Print version: Zamanifar, Azadeh Applications of Large Language Models (LLM) in Healthcare Systems
ISBN:
9781040751381
1040751385
9781003665083
100366508X
Publisher Number:
90102830533
Access Restriction:
Restricted for use by site license.

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