{"created":"2024-10-08T08:39:15.455051+00:00","id":2002530,"links":{},"metadata":{"_buckets":{"deposit":"53e262c9-54e5-4394-a4a6-9691ac76d01b"},"_deposit":{"created_by":82,"id":"2002530","owner":"82","owners":[82],"pid":{"revision_id":0,"type":"depid","value":"2002530"},"status":"published"},"_oai":{"id":"oai:toho.repo.nii.ac.jp:02002530","sets":["1724837505016:1726806625620:1727658729532"]},"author_link":[],"item_10001_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Construction and validation of an ocular blood flow age model using machine 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flowgraphy(LSFG)は眼血流を非侵襲的に再現性高く定量できる装置であり,LSFGによる眼血流指標は全身性の血管機能と関連性が示唆されていることが多く報告されている.眼血流は形態的変化が生じる前の機能的変化を検出できる可能性があり,我々は眼血流をAI技術による解析を行うことにより,新たな知見を導ける可能性があると考えた.本稿では現在,研究を行っている眼血流データの機械学習を用いた眼血流年齢モデルの構築と検証も含め,眼血流データをAIにて解析を行う有用性と今後について記述する.","subitem_description_language":"ja","subitem_description_type":"Other"}]},"item_10001_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.14994/tohoigaku.2021-042","subitem_identifier_reg_type":"JaLC"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"東邦大学医学会","subitem_publisher_language":"ja"},{"subitem_publisher":"トウホウダイガクイガクカイ","subitem_publisher_language":"ja-Kana"},{"subitem_publisher":"The Medical Society of Toho 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