["AI通过仅仅听取患者说话6-10秒的声音可以检测2型糖尿病。","研究结果显示在女性中的准确率达到89%，在男性中为86%。","研究使用声音技术分析超过18,000次录音，成功识别出糖尿病患者和非患者之间的声音差异。"]
AsmaaElnagger
基于 Facebook DINOv2 基础模型微调的图像分类模型，专门用于糖尿病视网膜病变检测，在评估集上准确率达 96.8%。
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