Prediction of cognitive conversion within the Alzheimer's disease continuum using deep learning.

Journal: Alzheimer's research & therapy
PMID:

Abstract

BACKGROUND: Early diagnosis and accurate prognosis of cognitive decline in Alzheimer's disease (AD) is important to timely assignment to optimal treatment modes. We aimed to develop a deep learning model to predict cognitive conversion to guide re-assignment decisions to more intensive therapies where needed.

Authors

  • Siyu Yang
    Heilongjiang University of Chinese Medicine, 24 Heping Road, Xiangfang District, Harbin, China 8615-0040.
  • Xintong Zhang
  • Xinyu Du
    Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
  • Peng Yan
    Department of Interventional Neuroradiology, Beijing Neurosurgical Institute and Beijing Tiantan Hospital, Capital Medical University, Room 603, No. 6 Tiantan Xili, Dongcheng District, Beijing, China.
  • Jing Zhang
    MOEMIL Laboratory, School of Optoelectronic Information, University of Electronic Science and Technology of China, Chengdu, China.
  • Wei Wang
    State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macau 999078, China.
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.
  • Lei Zhang
    Division of Gastroenterology, Union Hospital, Tongji Medical College Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Huaiqing Sun
    Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
  • Yin Liu
    School of Chemistry and Chemical Engineering, Shandong University, Jinan, China.
  • Xinran Xu
    College of Informatics, Huazhong Agricultural University, Wuhan 430070, China.
  • Yaxuan Di
    Department of Neurology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, 210029, China.
  • Jin Zhong
    Open FIESTA Center, Tsinghua University, Shenzhen, P.R. China.
  • Caiyun Wu
    Medical Image Processing Group, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
  • Jan D Reinhardt
    Institute for Disaster Management and Reconstruction, Sichuan University, Chengdu, Sichuan, 610207, China. reinhardt@scu.edu.cn.
  • Yu Zheng
    Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu 610041, China.
  • Ting Wu
    Asia Pacific Unit, Department of Pharmacoepidemiology, MSD (China) R&D Co., Ltd., Beijing, China.