评估ChatGPT在尿道炎的诊断准确性和管理建议
William Rojas-Carabali1,2, Carlos Cifuentes-González3, Xin Wei1
1National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Ocular immunology and inflammation
|September 18, 2023
概括
人工智能聊天机器人显示出在辅助紫外炎诊断和管理方面的潜力,但人类眼科医生目前表现出卓越的诊断准确性. 需要进一步的研究来提高AI在临床环境中的性能.
科学领域:
- 眼科医生 眼科 眼科
- 医疗人工智能 医疗人工智能
背景情况:
- 准确的诊断和及时的治疗对于有利的卵巢炎结果至关重要.
- 人工智能 (AI) 在医疗决策中表现有前途,特别是在眼科中.
- 基于人工智能的脑膜炎聊天机器人的诊断精度和管理建议需要彻底评估.
研究的目的:
- 评估人工智能聊天机器人 (ChatGPT) 的诊断准确性和管理建议,与受过紫外线炎训练的眼科医生相比.
- 根据已建立的命名法,评估AI在诊断紫外线炎病例中的性能.
主要方法:
- 用于评估的25个标准的卵巢炎病例,与新的卵巢炎命名准则保持一致.
- 参与者,包括一个人工智能聊天机器人和五名眼科医生,预测了诊断,差异和管理步骤.
- 计算了诊断和管理的比较成功率.
主要成果:
- 与AI (60%) 相比,眼科医生在预测可能的诊断 (60-92%) 中的准确性更高.
- 考虑到所有准确的诊断,眼科医生取得了76-100%的成功,而AI达到72%.
- 人工智能和眼科医生之间对诊断的共识为48%,对管理计划的共识为91.6%.
结论:
- 人工智能聊天机器人在脑膜炎诊断和管理方面具有潜在的实用性,可能减少诊断错误.
- 目前AI在脑膜炎诊断和推方面的表现落后于专家眼科医生.
- 进一步的研究是必要的,以提高AI聊天机器人的精度,以在脑膜炎的临床应用.
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