An Innovative Artificial Intelligence-Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study.

Journal: Journal of medical Internet research
Published Date: Sep 15, 2020

Abstract

BACKGROUND: Gestational diabetes mellitus (GDM) can cause adverse consequences to both mothers and their newborns. However, pregnant women living in low- and middle-income areas or countries often fail to receive early clinical interventions at local medical facilities due to restricted availability of GDM diagnosis. The outstanding performance of artificial intelligence (AI) in disease diagnosis in previous studies demonstrates its promising applications in GDM diagnosis.

Authors

  • Jiayi Shen
    Department of Cardiology, Lishui Central Hospital and the Fifth Affiliated Hospital of Wenzhou Medical University, Lishui, China.
  • Jiebin Chen
    Nephropathy Center of Integrated Traditional Chinese Medicine and Western Medicine, ZhuJiang Hospital, Southern Medical University, Guangzhou, 510280, China.
  • Zequan Zheng
    International School, Jinan University, Guangzhou, China.
  • Jiabin Zheng
    International School, Jinan University, Guangzhou, China.
  • Zherui Liu
    College of Information Science and Technology, Jinan University, Guangzhou, China.
  • Jian Song
    School of International Studies, Sun Yat-sen University, Guangzhou, China.
  • Sum Yi Wong
    International School, Jinan University, Guangzhou, China.
  • Xiaoling Wang
    Shanghai Key Lab of Trustworthy Computing, East China Normal University, Shanghai, China.
  • Mengqi Huang
    School of Journalism and Communication, Jinan University, Guangzhou, China.
  • Po-Han Fang
    International School, Jinan University, Guangzhou, China.
  • Bangsheng Jiang
    International School, Jinan University, Guangzhou, China.
  • Winghei Tsang
    Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China.
  • Zonglin He
    International School, Jinan University, Guangzhou, China.
  • Taoran Liu
    Faculty of Economics and Business, University of Groningen, Groningen, Netherlands.
  • Babatunde Akinwunmi
    Department of Obstetrics and Gynecology, Brigham and Women's Hospital, Boston, MA, United States.
  • Chi Chiu Wang
    Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, Hong Kong.
  • Casper J P Zhang
    School of Public Health, The University of Hong Kong, Hong Kong, China.
  • Jian Huang
    Center for Informational Biology, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu 611731, P. R. China.
  • Wai-Kit Ming
    International School, Jinan University, Guangzhou, China.

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