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J-GLOBAL ID：201802271531372588   整理番号：18A0508565

画像ベース深層学習による医用診断と治療可能な疾患の同定【Powered by NICT】

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

著者 (52件)： Kermany Daniel S. (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Kermany Daniel S. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Goldbaum Michael (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Cai Wenjia (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Valentim Carolina C.S. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Liang Huiying (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Baxter Sally L. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  McKeown Alex (Heidelberg Engineering, Heidelberg, Germany) ,  Yang Ge (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Wu Xiaokang (Molecular Medicine Research Center, State Key Laboratory of Biotherapy, The National Clinical Research Center of Senile Disease, West China Hospital, Sichuan University, Chengdu, China) ,  Yan Fangbing (Molecular Medicine Research Center, State Key Laboratory of Biotherapy, The National Clinical Research Center of Senile Disease, West China Hospital, Sichuan University, Chengdu, China) ,  Dong Justin (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Prasadha Made K. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Pei Jacqueline (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Pei Jacqueline (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Ting Magdalena (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Zhu Jie (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Zhu Jie (Guangzhou KangRui Biological Pharmaceutical Technology Company, 510005 Guangzhou, China) ,  Li Christina (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Hewett Sierra (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Hewett Sierra (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Dong Jason (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Ziyar Ian (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Shi Alexander (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Zhang Runze (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Zheng Lianghong (YouHealth AI, 510005 Guangzhou, China) ,  Hou Rui (Guangzhou KangRui Biological Pharmaceutical Technology Company, 510005 Guangzhou, China) ,  Shi William (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Fu Xin (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Fu Xin (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Duan Yaou (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Huu Viet A.N. (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Huu Viet A.N. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Wen Cindy (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Zhang Edward D. (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Zhang Edward D. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Zhang Charlotte L. (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Zhang Charlotte L. (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Li Oulan (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Li Oulan (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Wang Xiaobo (Beihai Hospital, Dalian, 116021, China) ,  Singer Michael A. (Department of Ophthalmology, University of Texas Health Science Center, San Antonio, TX 78229, USA) ,  Sun Xiaodong (Shanghai Key Laboratory of Ocular Fundus Diseases, Shanghai General Hospital, Shanghai JiaoTong University, 200080 Shanghai, China) ,  Xu Jie (Beijing Instute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China) ,  Tafreshi Ali (Heidelberg Engineering, Heidelberg, Germany) ,  Lewis M. Anthony (Qualcomm, San Diego, CA 92121, USA) ,  Xia Huimin (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Zhang Kang (Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, 510005 Guangzhou, China) ,  Zhang Kang (Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA) ,  Zhang Kang (Molecular Medicine Research Center, State Key Laboratory of Biotherapy, The National Clinical Research Center of Senile Disease, West China Hospital, Sichuan University, Chengdu, China) ,  Zhang Kang (Guangzhou Regenerative Medicine and Health Guangdong Laboratory, 510005 Guangzhou, China) ,  Zhang Kang (Veterans Administration Healthcare System, San Diego, CA 92037, USA)
資料名： Cell (Cambridge, Mass.)  (Cell (Cambridge, Mass.))
巻： 172  号： 5  ページ： 1122-1131.e9  発行年： 2018年 
JST資料番号： A0707B  ISSN： 0092-8674  資料種別： 逐次刊行物 (A)
記事区分： 原著論文  発行国： アメリカ合衆国 (USA)  言語： 英語 (EN)

抄録/ポイント： 医用イメージングのための臨床意思決定支援アルゴリズムの実装信頼性と解釈可能性と課題に直面している。ここでは,一般的な治療可能な失明する網膜疾患患者のスクリーニングのための性ディープ学習フレームワークに基づく診断ツールを確立した。筆者らのフレームワークは,転移学習,従来の方法のデータの割合を持つ神経回路網を訓練を利用した。光コヒーレンストモグラフィー画像のデータセットにこのアプローチを適用して,加齢性黄斑変性症および糖尿病性黄斑浮腫の分類における人間の専門家のものに匹敵する性能を示した。もニューラルネットワークにより認識される領域を強調することによってより透明で解釈可能な診断を提供する。さらに胸部X線画像を用いた小児肺炎の診断のAIシステムの一般的な適用性を実証した。このツールは,最終的にこれらの治療可能な状態の診断と照会を促進の支援であり,初期治療を促進し,臨床転帰の改善をもたらすであろう。ヌル表示省略Copyright 2018 Elsevier B.V., Amsterdam. All rights reserved. Translated from English into Japanese by JST.【Powered by NICT】

シソーラス用語： 子供 ,  神経回路網 ,  人工知能システム ,  適応性 ,  *学習 ,  患者 ,  ニューラルネットワーク ,  *治療法 ,  アルゴリズム ,  *画像 ,  スクリーニング ,  医用画像処理 ,  *深層学習
準シソーラス用語： 転帰 ,  転移学習 , 【Automatic Indexing@JST】

著者キーワード (10件)： 人工知能 ,  転移学習 ,  深い学習 ,  加齢黄斑変性 ,  脈絡膜血管新生 ,  糖尿病性網膜症 ,  糖尿病性黄斑浮腫 ,  スクリーニング ,  光コヒーレンストモグラフィー ,  肺炎

分類 (2件)： 細胞生理一般  (EF02010S) ,  精神科の基礎医学  (GR01020I)

タイトルに関連する用語 (5件)： 深層学習 ,  診断 ,  治療 ,  疾患 ,  同定