探索AI聊天机器人的能力,建议眼科手术规划:ChatGPT与Google Gemini对视网膜脱落病例的分析
Matteo Mario Carlà1,2, Gloria Gambini3,2, Antonio Baldascino3,2
1Ophthalmology Department, Catholic University "Sacro Cuore", Rome, Italy mm.carla94@gmail.com.
The British journal of ophthalmology
|March 6, 2024
概括
大型语言模型,如ChatGPT-3.5,ChatGPT-4和Google Gemini,被评估用于分析视网膜脱落病例. 聊天GPT-4表现出与专家外科医生达成更高的协议,以及外科规划建议的质量得分更高.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 公开可用的大型语言模型 (LLM) 越来越多地被用于医学应用.
- 在分析复杂的眼科疾病LLMs的能力,如视网膜脱落需要彻底的调查.
研究的目的:
- 评估ChatGPT-3.5,ChatGPT-4和Google Gemini在分析视网膜脱落病例中的表现.
- 为了比较LLM生成的手术计划与专家玻璃甲状腺外科医生意见的准确性.
- 评估不同LLM提供的手术规划建议的质量.
主要方法:
- 通过使用ChatGPT和Google Gemini接口分析了54个视网膜脱落病例记录.
- 促使LLM建议进行手术规划和眼内吸管.
- 评估了LLM建议和专家外科医生共识之间的一致性.
- 从1到5的全球质量评分 (GQS) 被用来评分LLM答案的质量.
主要成果:
- 聊天GPT-4显示了与专家外科医生的最高一致 (84%),其次是聊天GPT-3.5 (80%) 和谷歌双子座 (70%).
- 谷歌双子在五个案例中未能提供答案.
- 与谷歌双子 (3.5±1.1) 相比,ChatGPT模型获得了更高的全球质量评分 (3.9±0.8为3.5,4.2±0.7为4).
- 对所有模型来说,输内松剂的选择是一个常见的错误;只有ChatGPT-4建议结合式管切除术.
结论:
- 谷歌双子和ChatGPT都展示了对玻璃管患者记录的连贯分析,并与专家外科医生达成良好协议.
- 基于全球质量评分,ChatGPT,特别是ChatGPT-4,提供了更准确和精确的外科规划建议.
- LLM显示出在协助视网膜脱落手术规划方面的潜力,需要持续的进展以获得最佳的准确性.
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