An artificial intelligence malnutrition screening tool based on electronic medical records.

Journal: Clinical nutrition ESPEN
Published Date: Apr 29, 2025

Abstract

BACKGROUND & AIMS: Nutrition screening is a fundamental step to ensure appropriate intervention in patients with malnutrition. An automatic tool of nutritional risk screening based on electronic health records will improve efficiency and elevate the malnutrition diagnosis rate. We aimed to develop an artificial intelligence (AI) malnutrition screening tool based on electronic medical records and compare it with the patient interview-based tool.

Authors

  • Xue Wang
    Engineering Research Center of Zebrafish Models for Human Diseases and Drug Screening Biology Institute, Qilu University of Technology (Shandong Academy of Sciences) Jinan China.
  • Kuanda Yao
    Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100020, China.
  • Zhicheng Huang
    Department of Radiology, Jilin Cancer Hospital, Changchun, 130021.
  • Wanqing Zhao
    Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100020, China.
  • Jin Fu
    Department of Clinical Nutrition, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Pei Lou
    Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100020, China.
  • Yan Liu
    Department of Clinical Microbiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, People's Republic of China.
  • Jiahui Hu
    Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100020, China.
  • Yansheng Li
    DHC Mediway Technology Co., Ltd., Beijing, China.
  • An Fang
    Institute of Medical Information, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100020, China. Electronic address: fang.an@imicams.ac.cn.
  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.

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