Surviving ChatGPT in healthcare

Zhengliang Liu; Lu Zhang; Zihao Wu; Xiaowei Yu; Chao Cao; Haixing Dai; Ninghao Liu; Jun Liu; Wei Liu; Quanzheng Li; Dinggang Shen; Dinggang Shen; Dinggang Shen; Xiang Li; Dajiang Zhu; Tianming Liu

doi:10.3389/fradi.2023.1224682

Frontiers in Radiology (Feb 2024)

Surviving ChatGPT in healthcare

Zhengliang Liu,
Lu Zhang,
Zihao Wu,
Xiaowei Yu,
Chao Cao,
Haixing Dai,
Ninghao Liu,
Jun Liu,
Wei Liu,
Quanzheng Li,
Dinggang Shen,
Dinggang Shen,
Dinggang Shen,
Xiang Li,
Dajiang Zhu,
Tianming Liu

Affiliations

Zhengliang Liu: School of Computing, University of Georgia, Athens, GA, United States
Lu Zhang: Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
Zihao Wu: School of Computing, University of Georgia, Athens, GA, United States
Xiaowei Yu: Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
Chao Cao: Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
Haixing Dai: School of Computing, University of Georgia, Athens, GA, United States
Ninghao Liu: School of Computing, University of Georgia, Athens, GA, United States
Jun Liu: Department of Radiology, Second Xiangya Hospital, Changsha, Hunan, China
Wei Liu: Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States
Quanzheng Li: Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
Dinggang Shen: School of Biomedical Engineering, ShanghaiTech University, Shanghai, China
Dinggang Shen: Department of Research and Development, Shanhai United Imaging Intelligence Co., Ltd., Shanghai, China
Dinggang Shen: Shanghai Clinical Research and Trial Center, Shanghai, China
Xiang Li: Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States
Dajiang Zhu: Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
Tianming Liu: School of Computing, University of Georgia, Athens, GA, United States

DOI: https://doi.org/10.3389/fradi.2023.1224682
Journal volume & issue: Vol. 3

Abstract

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At the dawn of of Artificial General Intelligence (AGI), the emergence of large language models such as ChatGPT show promise in revolutionizing healthcare by improving patient care, expanding medical access, and optimizing clinical processes. However, their integration into healthcare systems requires careful consideration of potential risks, such as inaccurate medical advice, patient privacy violations, the creation of falsified documents or images, overreliance on AGI in medical education, and the perpetuation of biases. It is crucial to implement proper oversight and regulation to address these risks, ensuring the safe and effective incorporation of AGI technologies into healthcare systems. By acknowledging and mitigating these challenges, AGI can be harnessed to enhance patient care, medical knowledge, and healthcare processes, ultimately benefiting society as a whole.

Published in Frontiers in Radiology

ISSN: 2673-8740 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Medicine (General): Medical physics. Medical radiology. Nuclear medicine
Website: https://www.frontiersin.org/journals/radiology

About the journal

Abstract

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