Generative AI in Medicine and Healthcare: Promises, Opportunities and Challenges

Peng Zhang and Maged N. Kamel Boulos ()
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Peng Zhang: Department of Computer Science and Data Science Institute, Vanderbilt University, Nashville, TN 37240, USA
Maged N. Kamel Boulos: School of Medicine, University of Lisbon, 1649-028 Lisbon, Portugal

Future Internet, 2023, vol. 15, issue 9, 1-15

Abstract: Generative AI (artificial intelligence) refers to algorithms and models, such as OpenAI’s ChatGPT, that can be prompted to generate various types of content. In this narrative review, we present a selection of representative examples of generative AI applications in medicine and healthcare. We then briefly discuss some associated issues, such as trust, veracity, clinical safety and reliability, privacy, copyrights, ownership, and opportunities, e.g., AI-driven conversational user interfaces for friendlier human-computer interaction. We conclude that generative AI will play an increasingly important role in medicine and healthcare as it further evolves and gets better tailored to the unique settings and requirements of the medical domain and as the laws, policies and regulatory frameworks surrounding its use start taking shape.

Keywords: generative AI; large language models; ChatGPT; artificial intelligence; medicine; healthcare; human health (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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