DeepSeek:在诊断口腔病变方面又迈出了一步
Márcio Diniz-Freitas1, Pedro Diz-Dios1
1Medical-Surgical Dentistry Research Group (OMEQUI), Health Research Institute of Santiago de Compostela (IDIS), University of Santiago de Compostela (USC), Santiago de Compostela, Spain.
Journal of dental sciences
|July 14, 2025
概括
一个开源的人工智能模型DeepSeek-R1在使用文本诊断口腔疾病方面表现强. 这种人工智能工具实现了91.6%的准确性,帮助口腔医学的医疗专业人员.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 人工智能在医学中的应用
- 口腔医学是指口腔医学.
背景情况:
- 在某些医疗领域,如口腔医学,有限的专业培训需要创新的诊断工具.
- 人工智能 (AI) 正在成为支持医疗诊断的潜在解决方案.
研究的目的:
- 为了评估开源大语言模型 (LLM) DeepSeek-R1.1.的诊断性能.
- 根据文本案例描述,评估DeepSeek-R1在诊断口腔疾病和疾病方面的准确性.
主要方法:
- 使用了来自新英格兰医学杂志"图像挑战"的基于文本的病例描述.
- 将DeepSeek-R1的诊断准确度与ChatGPT-4o和人类读者进行了比较.
主要成果:
- DeepSeek-R1的诊断准确率达到了91.6%.
- DeepSeek-R1的表现超过了ChatGPT-4o (88.9%) 的表现,并且明显超过了期刊读者的准确性 (47.8%).
- 该模型在基于文本的诊断任务中表现出高度熟练,尽管缺乏直接图像解释能力.
结论:
- DeepSeek-R1显示出作为帮助医疗专业人员诊断口腔疾病的宝贵工具的巨大潜力.
- 人工智能,特别是像DeepSeek-R1这样的LLM,可以有效地支持在专业专业知识有限的领域的诊断过程.
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