人工智能是否准备好完全取代专业医生? 耳鼻科专家vsChatGPT: 1-0,球在中心
Virginia Dallari1,2, Andrea Sacchetto3,4, Roberto Saetti5
1Young Confederation of European ORL-HNS, Y-CEORL-HNS, Dublin, Ireland.
概括
这项研究评估了ChatGPT在耳鼻喉 (ENT) 临床病例中的表现,发现了潜在的有用性,但也发现了响应稳定性和临床元素识别方面的局限性.
科学领域:
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
- 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:
- 人工智能 (AI) 在医疗保健中的整合为诊断支持提供了新的途径.
- 像ChatGPT这样的大型语言模型正在越来越多地探索它们在医疗应用中的潜力.
研究的目的:
- 评估ChatGPT对耳鼻喉 (ENT) 临床场景的反应的准确性和一致性.
- 将ChatGPT的诊断能力与经验丰富的耳,耳,耳,耳专家的诊断能力进行比较.
主要方法:
- 开发了10个ORT临床场景,产生了20个不同复杂度的不同病例.
- 聊天GPT和三个耳鼻喉专家评估了相同的临床病例.
- 答案的正确性和一致性由五位耳,耳,耳,耳的作者评分.
主要成果:
- 聊天GPT的平均正确性得分为3.80,一致性得分为2.89.
- 根据病例复杂性 (低,中等,高) 观察到得分没有显著差异.
- 高的类内相关系数 (0.763为正确性,0.837为一致性) 表明在五天内反应稳定性良好.
结论:
- 聊天GPT是一个有希望的工具,可以帮助在LNT诊断.
- 关键的局限性包括响应的变化和无法识别特定的临床指标.
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