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Integration and Assessment of ChatGPT in Medical Case Reporting: A Multifaceted Approach
Kuan-Chen Lin1, Tsung-An Chen1, Ming-Hwai Lin1,2
1Department of Family Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 11217, Taiwan.
This study analyzed 66 medical case reports using ChatGPT, finding its main uses in information retrieval and content generation. Limitations included inaccuracies and lack of clinical context, highlighting the need for physician expertise.
Area of Science:
- Medical Writing
- Artificial Intelligence in Medicine
- Bibliometrics
Background:
- Large language models like ChatGPT are increasingly used in medical writing.
- Case reports are a key format for documenting patient illness trajectories.
- Understanding ChatGPT's role in medical case report generation is crucial.
Purpose of the Study:
- To explore the integration and impact of ChatGPT in medical writing, specifically for case reports.
- To analyze the application categories, limitations, and publication trends of ChatGPT in case reports.
- To differentiate the capabilities of generative AI from physician expertise.
Main Methods:
- Bibliometric analysis of 66 case reports utilizing ChatGPT, indexed in PubMed.
- Categorization of ChatGPT applications and limitations in case report writing.
- Trend analysis of application categories over time.
Main Results:
- 66 case reports using ChatGPT were identified, primarily using the online version and English input.
- Information retrieval and content generation were the most prevalent application categories.
- Limitations cited included inaccuracies and a lack of clinical context.
Conclusions:
- ChatGPT is utilized in medical case reports mainly for information retrieval and content generation.
- Concerns regarding accuracy and clinical context underscore the indispensable role of physician expertise.
- Generative AI tools complement, but do not replace, the critical thinking and professional judgment of clinicians.
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