Automated medical literature screening using artificial intelligence: a systematic review and meta-analysis.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Jul 12, 2022

Abstract

OBJECTIVE: We aim to investigate the application and accuracy of artificial intelligence (AI) methods for automated medical literature screening for systematic reviews.

Authors

  • Yunying Feng
    Eight-year Program of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Siyu Liang
    Department of Endocrinology, Endocrine Key Laboratory of Ministry of Health, PUMCH, CAMS & PUMC, 100730, Beijing, China.
  • Yuelun Zhang
    Medical Research Center, PUMCH, CAMS & PUMC, Beijing, China.
  • Shi Chen
    Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.
  • Qing Wang
    School of Chemistry and Chemical Engineering, Southwest Petroleum University, Chengdu 610500, China. qwang@163.com.
  • Tianze Huang
    Eight-year Program of Clinical Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Feng Sun
    Department of Neurology, Brain Hospital Affiliated to Nanjing Medical University, Nanjing 210029, China.
  • Xiaoqing Liu
  • Huijuan Zhu
    Department of Endocrinology, Chinese Academy of Medical Sciences and Peking Union Medical College, Peking Union Medical College Hospital, Beijing, China.
  • Hui Pan
    Department of Endocrinology, Key Laboratory of Endocrinology of National Health Commission, PUMCH, CAMS & PUMC, Beijing, China.

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