人工智能与人类临床医生在食管胃管腺镜中的适宜性:使用临床图片进行比较研究
Angelica Toppeta1, Mattia Corradi1,2, Beatrice Mantia1,2
1Department of Gastroenterology and Endoscopy, ASST Fatebenefratelli Sacco, Milan, Italy.
人工智能 (AI) 模型在评估食道胃道透镜的适当性方面显示了可变的性能. 一些人工智能模型在9月份的表现优于医生,这表明潜力,但需要进一步评估.
科学领域:
- 医疗信息学 医疗信息学
- 人工智能在医学中的应用
- 临床决策支持 临床决策支持
背景情况:
- 大型语言模型 (LLM) 正在临床决策中出现.
- 它们在基于适当性的指示中的有用性仍然不清楚.
研究的目的:
- 为了比较各种AI模型对人类医生对食道胃道透镜指示的适当性.
- 在现实世界调查环境中随着时间的推移评估AI性能.
主要方法:
- 在意大利进行了一项以图片为基础的调查.
- 在两个时间点 (2025年4月和9月) 评估了五种AI模型 (ChatGPT-4.0,ChatGPT-4.5,Gemini,Claude AI,OpenEvidence).
- 性能与胃肠科医生,住院医生和全科医生进行了比较,使用既定的指导方针.
主要成果:
- 135名医生参与了调查.
- 人工智能性能在模型和时间点之间显示出可变性.
- 准确度从4月的50%-90%到9月的63%-80%不等.
- 与9月份的医生相比,ChatGPT-4.5和ChatGPT-4.0的表现优于医生.
结论:
- 人工智能性能的时间和快速变化需要仔细考虑.
- 在AI在基于适当性的指示中得到广泛的临床采用之前,纵向的多次评估至关重要.
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