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人工智能驱动的喉腔镜:用谷歌双子座探索未来
Sean A Setzen1, Katerina Andreadis2, Olivier Elemento3
1Sean Parker Institute for the Voice, Department of Otolaryngology-Head and Neck Surgery, Weill Cornell Medical College, New York, New York, USA.
The Laryngoscope
|February 20, 2025
概括
谷歌Gemini 1.5 Pro是一个强大的AI基础模型 (FM),在解释喉腔镜图像和视频方面表现有前途. 这种人工智能工具可以通过支持复杂程序中的临床决策来帮助耳鼻喉学.
科学领域:
- 人工智能在医学中的应用
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 医学成像分析 医学成像分析
背景情况:
- 基础模型 (FMs) 是对各种数据进行训练的多功能AI系统.
- 多式联接FM可以处理各种数据类型,包括视频.
- 人工智能在临床决策支持中的作用正在迅速扩大.
研究的目的:
- 评估谷歌Gemini 1.5 Pro在解释喉腔镜图像和视频方面的表现.
- 评估先进的基础模型在耳鼻喉科的潜力.
主要方法:
- 谷歌Gemini 1.5 Pro被用于分析来自谷歌图像和YouTube的喉腔镜镜和视频.
- 测试了模型识别手术,诊断病理和识别病变侧面的能力.
- 在没有对任务进行特定微调的情况下,评估了绩效.
主要成果:
- 双子 1.5 Pro 在98.9%的和100%的视频中识别了喉腔镜.
- 在62.5%的和20.0%的视频中实现了准确的病理诊断.
- 该模型在65.9%的和40.0%的视频中确定了损伤侧面,并叙述了操作视频.
结论:
- 谷歌Gemini 1.5 Pro显示了分析喉腔镜手术的巨大潜力.
- 基础模型在耳鼻喉科等专业医疗领域显示出作为临床决策支持工具的前景.
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