Innovations and challenges in predicting cognitive trajectories after stroke.

IF 4.1 Q1 CLINICAL NEUROLOGY Brain communications Pub Date : 2024-10-16 eCollection Date: 2024-01-01 DOI:10.1093/braincomms/fcae364
Nele Demeyere, Margaret J Moore
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引用次数: 0

Abstract

This scientific commentary refers to 'Deep learning disconnectomes to accelerate and improve long-term predictions for post-stroke symptoms', by Matsulevits et al. (https://doi.org/10.1093/braincomms/fcae338).

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预测中风后认知轨迹的创新与挑战。
这篇科学评论提到了 Matsulevits 等人撰写的 "深度学习断开连接,加快并改善对中风后症状的长期预测"(https://doi.org/10.1093/braincomms/fcae338)。
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审稿时长
6 weeks
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