The performance of artificial intelligence in image-based prediction of hematoma enlargement: a systematic review and meta-analysis.

Journal: Annals of medicine
Published Date:

Abstract

BACKGROUND: Accurately predicting hematoma enlargement (HE) is crucial for improving the prognosis of patients with cerebral haemorrhage. Artificial intelligence (AI) is a potentially reliable assistant for medical image recognition. This study systematically reviews medical imaging articles on the predictive performance of AI in HE.

Authors

  • Wenjing Fan
    Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
  • Zhiping Wu
    Experimental Teaching Center of Public Health, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
  • Wangyang Zhao
    Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
  • Luzhu Jia
    Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
  • Shuze Li
    Department of Epidemiology, School of Public Health, Dalian Medical University, Dalian, Liaoning, China.
  • Wei Wei
    Dept. Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, USA.
  • Xin Chen
    University of Nottingham, Nottingham, United Kingdom.