Prediction of early-phase cytomegalovirus pneumonia in post-stem cell transplantation using a deep learning model.

Journal: Technology and health care : official journal of the European Society for Engineering and Medicine
PMID: 39058469

Abstract

BACKGROUND: Diagnostic challenges exist for CMV pneumonia in post-hematopoietic stem cell transplantation (post-HSCT) patients, despite early-phase radiographic changes.

Authors

  • Yanhua Zheng
    Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Ruilin Ren
    Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Teng Zuo
    Urology Department, Fourth Affiliated Hospital of China Medical University, Shenyang, China.
  • Xuan Chen
    Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA.
  • Hanxuan Li
    Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Cheng Xie
  • Meiling Weng
    Department of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Chunxiao He
    Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Min Xu
    Department of Gastroenterology, Shanghai First People's Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
  • Lili Wang
    School of Logistics, Chengdu University of Information Technology, Chengdu, China.
  • Nainong Li
    Fujian Provincial Key Laboratory on Hematology, Fujian Institute of Hematology, Fujian Medical University Union Hospital, Fuzhou, China.
  • Xiaofan Li
    School of Electrical Engineering, Yancheng Institute of Technology, Yancheng 224051, PR China; School of Information Science and Technology, Donghua University, Shanghai 201620, PR China. Electronic address: xiaofanycit@163.com.

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