Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Medical LLMs and AI in Healthcare: Ethics, Trust, and Clinical Applications

Medical LLMs and AI in Healthcare: Ethics, Trust, and Clinical Applications

Ortiz-Rodriguez, Fernando
Kansal, Mrignainy
Dhanaraj, Rajesh Kumar

Paperback

Medical ReferenceGeneral Computers

ISBN13: 9798260021743
Publisher: Igi Global Scientific Publishing
Published: Jun 4 2026
Pages: 426
Weight: 1.62
Height: 0.87 Width: 7.00 Depth: 10.00
Language: English
The integration of medical large language models (LLMs) and AI in healthcare transforms how medical professionals diagnose conditions, manage patient care, and access clinical information. These advanced technologies may improve efficiency, enhance decision-making, and expand access to healthcare services through applications like virtual assistants, medical documentation, predictive analytics, and personalized treatment recommendations. However, the increasing use of AI in clinical settings also raises important concerns related to ethics, patient privacy, bias, accountability, and trust between healthcare providers and patients. Further examination may reveal the opportunities and challenges associated with AI-driven systems in medicine, emphasizing the need for responsible, transparent, and human-centered approaches to healthcare innovation. Medical LLMs and AI in Healthcare: Ethics, Trust, and Clinical Applications explores the application of medical LLMs and AI in healthcare to support clinical decision-making, patient care, medical documentation, and healthcare accessibility. It examines the ethical, legal, and social implications of AI in medicine, including issues of trust, bias, privacy, accountability, and the relationship between technology, healthcare professionals, and patients. This book covers topics such as medical technologies, radiology, and data science, and is a useful resource medical and healthcare professionals, engineers, academicians, researchers, and scientists.

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