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Longitudinal real world correlation study of blood pressure and novel features of cerebral magnetic resonance angiography by artificial intelligence analysis on elderly cognitive impairment.
Sun, Shasha; Liu, Dongyue; Zhou, Yanfeng; Yang, Ge; Cui, Long-Biao; Xu, Xian; Guo, Yuanhao; Sun, Ting; Jiang, Jiacheng; Li, Na; Wang, Yabin; Li, Sulei; Wang, Xinjiang; Fan, Li; Cao, Feng.
Affiliation
  • Sun S; Department of Cardiology, Chinese PLA Medical School, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Liu D; Department of Cardiology, Chinese PLA Medical School, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Zhou Y; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Yang G; Laboratory of Computational Biology and Machine Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Cui LB; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Xu X; Laboratory of Computational Biology and Machine Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Guo Y; Department of Cardiology, Chinese PLA Medical School, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Sun T; Department of Radiology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Jiang J; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Li N; Laboratory of Computational Biology and Machine Intelligence, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Wang Y; Department of Cardiology, Chinese PLA Medical School, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Li S; Department of Radiology, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Wang X; Nankai University School of Medicine, Nankai University, Tianjin, China.
  • Fan L; Department of Cardiology, Chinese PLA Medical School, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
  • Cao F; Department of Cardiology, Chinese PLA Medical School, The Second Medical Center and National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing, China.
Front Aging Neurosci ; 15: 1121152, 2023.
Article in En | MEDLINE | ID: mdl-36819723
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Aging Neurosci Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza
Fulltext
Add to My VHL
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Language: En Journal: Front Aging Neurosci Year: 2023 Document type: Article Affiliation country: China Country of publication: Suiza