Artificial intelligence in endocrine practice: comparing ChatGPT, Gemini, and Claude for adrenal incidentaloma care
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View abstract on PubMed
Summary
This summary is machine-generated.Large language models (LLMs) show promise for managing adrenal incidentalomas, performing comparably in routine tasks but differing in complex scenarios. Careful model selection and human oversight are crucial for effective clinical integration in endocrinology.
Area Of Science
- Endocrinology
- Artificial Intelligence
- Medical Informatics
Background
- The clinical application of artificial intelligence (AI) is growing in endocrinology.
- The efficacy of large language models (LLMs) for managing adrenal incidentalomas is not well-established.
Purpose Of The Study
- To evaluate and compare the performance of four LLMs (ChatGPT-4o, ChatGPT-o1, Google Gemini 2.0, Claude 3.5) in addressing guideline-based queries and clinical scenarios related to adrenal incidentalomas.
Main Methods
- A cross-sectional study involving 34 guideline-derived questions and four case scenarios presented to four LLMs.
- Responses were evaluated by six endocrinologists using Likert scales for hallucination, quality, usability, reliability, and accuracy.
- Readability metrics and word counts were analyzed.
Main Results
- No significant performance differences were observed among LLMs for diagnosis, treatment/follow-up, and patient questions.
- ChatGPT-4o demonstrated superior performance over ChatGPT-o1 in complex cases, particularly in hallucination control, quality, and usability (p < 0.05).
- Readability analysis indicated high text complexity (Flesch-Kincaid Grade Level: 10.6-17.4), with excellent inter-rater reliability (ICC: 0.876-0.961).
Conclusions
- LLMs hold potential as decision-support tools in the management of adrenal incidentalomas.
- While LLM performance is similar for routine tasks, complex cases reveal significant differences, emphasizing the need for judicious model selection.
- Human oversight and attention to the readability of LLM-generated content are essential for endocrine practice.
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