PreprintCited by 3Artificial Intelligence in Healthcare and EducationMachine Learning in HealthcareArtificial Intelligence in Healthcare

ChatGPT and Large Language Models (LLMs) in Healthcare: Opportunities and Risks

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Ali, Hazrat, Qadir, Junaid, Shah, Zubair, Alam, Tanvir, Househ, Mowafa·2023

Abstract

We review the potential applications of ChatGPT in healthcare and also identify potentials risks that must be addressed before ChatGPT and other LLM tools can be safely adopted in healthcare.

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Research works printed but not linked: 4

  1. R. Hu, K. Y. Fan, P. Pandey, Z. Hu, O. Yau, M. Teng, P. Wang, A. Li, M. Ashraf, and R. Singla, "Insights from teaching artificial intelligence to medical students in canada," Communications Medicine, vol. 2, no. 1, p. 63, 2022.
  2. S. Zhu, M. Gilbert, I. Chetty, and F. Siddiqui, "The 2021 landscape of fda-approved artificial intelligence/machine learning-enabled medical devices: an analysis of the characteristics and intended use," Interna- tional journal of medical informatics, vol. 165, p. 104828, 2022.
  3. J. R. Benoit, "Chatgpt for clinical vignette generation, revision, and evaluation," medRxiv, pp. 2023-02, 2023.
  4. Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, E. Ishii, Y. J. Bang, A. Madotto, and P. Fung, "Survey of hallucination in natural language generation," ACM Computing Surveys, vol. 55, no. 12, pp. 1-38, 2023.

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Authors
Ali, H., Qadir, J., Shah, Z., Alam, T., & Househ, M.
Affiliations
Hamad bin Khalifa University (QA)
Corresponding author
Ali, Hazrat
Published
2023-05-19
OpenAlex
W4377087961
Cited by
3
References
7
Citations by year
2024: 3
Type
posted content
Language
en
Open access
Topics
  • Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
  • Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning in Healthcare
  • Health Sciences › Health Professions › Health Information Management › Artificial Intelligence in Healthcare
Keywords
ChatGPT, large language models, medical applications, AI adoption in healthcare, clinical decision support

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