人工智能聊天机器人的性能在眼科疾病的分拣中
Riley J Lyons1, Sruthi R Arepalli1, Ollya Fromal1
1Department of Ophthalmology, Emory University School of Medicine, Atlanta, GA.
概括
像ChatGPT这样的人工智能 (AI) 聊天机器人在诊断和分类眼科疾病方面表现出很高的准确性,相当于眼科学员. 这些人工智能工具为初始眼科护理分类提供了一个有希望的,安全的选择.
科学领域:
- 眼科医生 眼科 眼科
- 人工智能的人工智能
- 医学诊断 医学诊断 医学诊断
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 获得及时的人类专业知识以对眼病状况进行分类是不一致的.
- 公共使用人工智能 (AI) 聊天机器人用于医疗分拣正在增加.
- 验证人工智能聊天机器人用于眼科分拣的性能对于公共安全至关重要.
研究的目的:
- 评估人工智能聊天机器人对常见眼科疾病的诊断和分拣性能.
- 将AI聊天机器人的准确性与眼科学员和现有症状检查器进行比较.
主要方法:
- 一项涉及44个眼科投诉的临床细节的横截面研究.
- 对眼科实习生进行OpenAI ChatGPT (GPT-4),Bing Chat和WebMD症状检查器的评估.
- 主要结局:正确的诊断在前3个建议中的正确诊断和适当的分拣紧急情况.
主要成果:
- 聊天GPT实现了93%的诊断准确率和98%的分组紧急准确率.
- 眼科实习生实现了95%的诊断准确率和86%的分组紧急准确率.
- Bing聊天显示了较低的诊断准确度 (77%),但高分类紧急准确度 (84%);WebMD症状检查器的性能明显较低.
结论:
- 聊天GPT (GPT-4) 在眼科疾病方面表现出高的诊断和分拣准确度,与实习生相比.
- 聊天GPT提供了准确的分类,没有严重不准确的陈述.
- Bing聊天显示诊断准确度较低,并倾向于高估分拣紧急情况.
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