This paper is in the following e-collection/theme issue:

Artificial Intelligence (1371) Computer-Aided Diagnosis (128) mHealth in a Clinical Setting (615) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) Gestational Diabetes (28) Mobile Health and Apps for Maternal and Child Health (150)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21573, first published .
An Innovative Artificial Intelligence–Based App for the Diagnosis of Gestational Diabetes Mellitus (GDM-AI): Development Study

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

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

Authors of this article:

Jiayi Shen1, 2 Author Orcid Image ;   Jiebin Chen3 Author Orcid Image ;   Zequan Zheng4 Author Orcid Image ;   Jiabin Zheng4 Author Orcid Image ;   Zherui Liu3 Author Orcid Image ;   Jian Song5 Author Orcid Image ;   Sum Yi Wong4 Author Orcid Image ;   Xiaoling Wang6 Author Orcid Image ;   Mengqi Huang6 Author Orcid Image ;   Po-Han Fang4 Author Orcid Image ;   Bangsheng Jiang4 Author Orcid Image ;   Winghei Tsang1 Author Orcid Image ;   Zonglin He4 Author Orcid Image ;   Taoran Liu7 Author Orcid Image ;   Babatunde Akinwunmi8, 9 Author Orcid Image ;   Chi Chiu Wang10 Author Orcid Image ;   Casper J P Zhang11 Author Orcid Image ;   Jian Huang12 Author Orcid Image ;   Wai-Kit Ming1 Author Orcid Image
Article Authors Cited by (35) Tweetations (5) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.