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Digital Medicine for Cerebrovascular Disorders Junichi Ushiba 1 1Department of Biosciences and Informatics, Faculty of Science and Technology, Keio University Keyword: AI , 機械学習 , ウェアラブルセンサー , アプリ , ブレイン・コンピュータ・インターフェース , artificial intelligence , machine learning , wearable sensors , apps , brain-computer interfaces pp.969-973
Published Date 2025/9/1
DOI https://doi.org/10.11477/mf.188160960770090969
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Abstract

Medical healthcare for cerebrovascular disorders faces challenges at each stage of the patient journey, from prevention to early detection, treatment, rehabilitation, and home care. These challenges include a lack of expert personnel, lack of accuracy due to empirical knowledge and qualitative judgment, and assurance of the quality of care at home. This article highlights that digital technologies such as wearable sensors, artificial intelligence, digital twins, and smartphone apps can aid in solving these problems.


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電子版ISSN 1344-8129 印刷版ISSN 1881-6096 医学書院

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