A Cohort Study of Pediatric Severe Community-Acquired Pneumonia Involving AI-Based CT Image Parameters and Electronic Health Record Data.

Journal: Infectious diseases and therapy
Published Date: Aug 8, 2025

Abstract

INTRODUCTION: Community-acquired pneumonia (CAP) is a significant concern for children worldwide and is associated with a high morbidity and mortality. To improve patient outcomes, early intervention and accurate diagnosis are essential. Artificial intelligence (AI) can mine and label imaging data and thus may contribute to precision research and personalized clinical management.

Authors

  • Mengyuan He
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
  • Jianpeng Yuan
    Department of Radiology, The Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, China.
  • Aijiao Liu
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
  • Rui Pu
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
  • Wenqi Yu
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
  • Yinzhu Wang
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Xing Nie
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
  • Jinsheng Yi
    Department of Radiology, The Seventh Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, China. yijinsheng@sysush.com.
  • Hongman Xue
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China. xuehongman@sysush.com.
  • Junfeng Xie
    Pediatric Hematology Laboratory, Division of Hematology/Oncology, Department, of Pediatrics, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China. xiejunfeng@sysush.com.

Keywords

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