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Comparing ChatGPT's and Surgeon's Responses to Thyroid-related Questions From Patients
Siyin Guo1, Ruicen Li2, Genpeng Li1
1Division of Thyroid Surgery, Department of General Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
The Journal of Clinical Endocrinology and Metabolism
|April 10, 2024
Summary
ChatGPT, an AI language model, demonstrated superior performance in answering common thyroid-related questions compared to human specialists. Further research is needed to assess its capabilities for complex thyroid conditions.
Area of Science:
- Endocrinology
- Artificial Intelligence in Medicine
- Medical Informatics
Background:
- Thyroid conditions are prevalent and require long-term patient management.
- Artificial intelligence tools like ChatGPT offer potential for patient education and support.
- Evaluating AI's role in answering medical queries is crucial for safe implementation.
Purpose of the Study:
- To assess ChatGPT (GPT-4.0) for accuracy, comprehensiveness, compassion, and satisfaction in responding to thyroid-related questions.
- To compare ChatGPT's responses against those of junior and senior medical specialists.
- To evaluate the potential of AI in assisting with common thyroid condition inquiries.
Main Methods:
- A cross-sectional study involving 30 common thyroid-related questions.
- Responses generated by ChatGPT, a junior specialist, and a senior specialist.
- Evaluation of responses by 26 patients and 11 thyroid surgeons across four key dimensions.
Main Results:
- ChatGPT provided faster responses than both junior and senior specialists.
- ChatGPT generated more comprehensive responses in terms of word count.
- ChatGPT achieved higher scores for accuracy, comprehensiveness, compassion, and satisfaction.
Conclusions:
- ChatGPT outperformed human specialists in answering common thyroid-related questions.
- AI demonstrates significant potential in addressing patient queries for thyroid conditions.
- Further investigation is warranted to explore ChatGPT's capabilities for complex medical scenarios.
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