论文精选
DystoniaDBSNet预测脑深部刺激治疗效果
DystoniaDBSNet as a novel deep learning biomarker of predictive deep brain stimulation outcome in dystonia
精选理由
医学AI新突破：DystoniaDBSNet能预测脑深部刺激治疗效果，帮助医生制定个性化方案。
DystoniaDBSNet是一种新型深度学习生物标志物，用于预测肌张力障碍患者脑深部刺激治疗的效果。该模型在npj Digital Medicine期刊发表，研究团队通过深度学习技术分析了患者脑部数据。DystoniaDBSNet能够准确预测治疗反应，为个性化治疗方案提供依据。
原文 · npj Digital Medicine
DystoniaDBSNet as a novel deep learning biomarker of predictive deep brain stimulation outcome in dystonia
npj Digital Medicine, Published online: 09 September 2026; doi:10.1038/s41746-026-03235-8 DystoniaDBSNet as a novel deep learning biomarker of predictive deep brain stimulation outcome in dystonia
