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

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...

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Bibliographic Details
Published in:Future internet Vol. 15; no. 9; p. 286
Main Authors: Zhang, Peng, Kamel Boulos, Maged N.
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.08.2023
Subjects:
Algorithms
Artificial intelligence
Chatbots
ChatGPT
Clinical decision making
Clinical outcomes
Communication
Computational linguistics
Computer software industry
Electronic health records
Ethics
Evidence-based medicine
False information
generative AI
Generative artificial intelligence
Health care
healthcare
Human-computer interface
Internet
Language
Language processing
Large language models
Medical diagnosis
Medical imaging equipment
Medicine
Natural language interfaces
Neural networks
Patient compliance
Privacy
User interfaces
United States
ISSN:1999-5903, 1999-5903
Online Access:Get full text
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Summary: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.
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ISSN:1999-5903
1999-5903
DOI:10.3390/fi15090286