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ChatGPT and Artificial Intelligence in Medical Writing: Concerns and Ethical Considerations.
Doyal, Alexander S; Sender, David; Nanda, Monika; Serrano, Ricardo A.
Affiliation
  • Doyal AS; Anesthesiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, USA.
  • Sender D; Anesthesiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, USA.
  • Nanda M; Anesthesiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, USA.
  • Serrano RA; Anesthesiology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, USA.
Cureus ; 15(8): e43292, 2023 Aug.
Article in En | MEDLINE | ID: mdl-37692694
ABSTRACT
Artificial intelligence (AI) language generation models, such as ChatGPT, have the potential to revolutionize the field of medical writing and other natural language processing (NLP) tasks. It is crucial to consider the ethical concerns that come with their use. These include bias, misinformation, privacy, lack of transparency, job displacement, stifling creativity, plagiarism, authorship, and dependence. Therefore, it is essential to develop strategies to understand and address these concerns. Important techniques include common bias and misinformation detection, ensuring privacy, providing transparency, and being mindful of the impact on employment. The AI-generated text must be critically reviewed by medical experts to validate the output generated by these models before being used in any clinical or medical context. By considering these ethical concerns and taking appropriate measures, we can ensure that the benefits of these powerful tools are maximized while minimizing any potential harm. This article focuses on the implications of AI assistants in medical writing and hopes to provide insight into the perceived rapid rate of technological progression from a historical and ethical perspective.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Aspects: Ethics Language: En Journal: Cureus Year: 2023 Document type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Aspects: Ethics Language: En Journal: Cureus Year: 2023 Document type: Article Affiliation country: United States