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Updated: Jan 15, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
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機械学習と人工知能を用いた神経画像モダリティによるパーキンソン病の検出：システマティックレビュー

Faranak Ebrahimian Sadabad1, Praveen Honhar2,3, Shakiba Houshi4

  • 1Department of Radiology and Biomedical Imaging, School of Medicine, Yale University, 801 Howard Ave, PO Box 208048, New Haven, CT, USA. faranak.ebrahimiansadabad@yale.edu.

Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology
|January 13, 2026
PubMed
まとめ

機械学習と人工知能は、医療画像を使用してパーキンソン病（PD）と健常対照者を区別する際に高い精度を示しています。パフォーマンスは、画像モダリティとアルゴリズムによって異なり、ドーパミントシンチグラフィーとPETが優れた結果を示しています。

キーワード:
人工知能MRIPETパーキンソン病SPECT

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