多种大型语言模型与绝经后骨质疏松症的临床指南对比:对ChatGPT-3.5,ChatGPT-4.0,ChatGPT-4o,Google Gemini,Google Gemini Advanced和微软Copilot进行比较研究
Chun-Ru Lin1, Yi-Jun Chen2, Po-An Tsai3
1Department of Orthopaedic Surgery, Chang Gung Memorial Hospital, Linkou Branch, No. 5, Fuxing Street, Guishan District, Taoyuan City, 333, Taiwan.
Archives of osteoporosis
|September 8, 2025
概括
与其他AI模型相比,ChatGPT-4o在评估绝经后骨质疏松症方面表现出卓越的准确性. 这突显了人工智能.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床决策支持 临床决策支持
背景情况:
- 人工智能 (AI) 提供了协助临床决策的机会.
- 绝经后骨质疏松症的诊断和治疗需要准确的,遵循指南的建议.
研究的目的:
- 评估各种人工智能模型在为绝经后骨质疏松症诊断和治疗提供建议时的准确性.
- 为了比较ChatGPT-3.5,ChatGPT-4.0,ChatGPT-4o,Gemini,Gemini Advanced和Copilot的性能与已建立的临床指南.
主要方法:
- 从2020年美国临床内分泌学家协会 (AACE) 关于骨质疏松症的指南中利用问题.
- 评估了六个AI模型的响应:ChatGPT-3.5,ChatGPT-4.0,ChatGPT-4o,双子座,双子座高级和辅助飞行员.
- 根据遵守指导方针,将答案分类为准确,过度结论性或不足;用于统计比较的千平方测试.
主要成果:
- 聊天GPT-4o实现了最高准确度88%,明显优于其他模型 (p < 0.001).
- 精度差异很大:聊天GPT-4.0 (64.3%),聊天GPT-3.5 (57.1%),双子座高级 (57.1%),副驾驶 (47.6%) 和双子座 (45.2%).
- 在所有评估的AI模型中观察到响应准确度的显著差异.
结论:
- 聊天GPT-4o在评估绝经后骨质疏松症方面表现出最高的准确性,表明其潜在的实用性.
- 人工智能模型性能的显著变化需要对临床应用进行仔细的选择.
- 需要进一步的研究来探索AI在医疗领域的更广泛适用性.
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