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LLMs and generative AI for healthcare : the next frontier / Kerrie Holley and Manish Mathur.

Holley, Kerrie, (author.). Mathur, Manish, (author.).

Summary:
Large language models (LLMs) and generative AI are rapidly changing the healthcare industry. These technologies have the potential to revolutionize healthcare by improving the efficiency, accuracy, and personalization of care. This practical book shows healthcare leaders, researchers, data scientists, and AI engineers the potential of LLMs and generative AI today and in the future, using storytelling and illustrative use cases in healthcare. Authors Kerrie Holley, former Google healthcare professionals, guide you through the transformative potential of large language models (LLMs) and generative AI in healthcare. From personalized patient care and clinical decision support to drug discovery and public health applications, this comprehensive exploration covers real-world uses and future possibilities of LLMs and generative AI in healthcare. -- back cover

Record details

  • ISBN: 9781098160920
  • ISBN: 1098160924
  • Physical Description: xv, 200 pages : illustrations ; 24 cm
  • Edition: First edition.
  • Publisher: Sebastopol, CA : O'Reilley Media, 2024.

Content descriptions

Bibliography, etc. Note:
Includes bibliographical references and index.
Formatted Contents Note:
Doctor's black bag -- Peeking inside the AI black box -- Beyond white coats -- LLM and generative AI's patient and clinical potential -- LLMs in pharmaceutical R&D, public health, and beyond -- Steering the helm for ethical use of LLMs -- Objects are closer than they appear
Subject: Medical informatics > Technological innovations.
Natural language processing (Computer science)
Artificial intelligence.

Available copies

  • 1 of 1 copy available at Berks County. (Show)
  • 1 of 1 copy available at RACC.

Holds

  • 0 current holds with 1 total copy.
Show Only Available Copies
Location Call Number / Copy Notes Barcode Shelving Location Circulation Modifier Status Due Date Courses
RACC New - R859.7.A78 H65 2024 (Text) 33624024981936 New Available -


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