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

Jiayi Shen   ^{1, 2 *} , MBBS ;   Jiebin Chen   ^{3 *} , BSc ;   Zequan Zheng   ⁴ , MBBS ;   Jiabin Zheng   ⁴ , MBBS ;   Zherui Liu   ³ , BSc ;   Jian Song   ⁵ , BA ;   Sum Yi Wong   ⁴ , MBBS ;   Xiaoling Wang   ⁶ , BA ;   Mengqi Huang   ⁶ , BA ;   Po-Han Fang   ⁴ , MBBS ;   Bangsheng Jiang   ⁴ , MBBS ;   Winghei Tsang   ¹ , MBBS ;   Zonglin He   ⁴ , MBBS ;   Taoran Liu   ⁷ , BSc ;   Babatunde Akinwunmi   ^{8, 9} , MD, MPH, MMSc ;   Chi Chiu Wang   ¹⁰ , MBBS, PhD ;   Casper J P Zhang   ¹¹ , MPH, PhD ;   Jian Huang   ¹² , MPH, PhD ;   Wai-Kit Ming   ¹ , MD, MPH, PhD, MMSc

¹ Department of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou, China

² Sun Yat-sen University Cancer Center, Guangzhou, China

³ College of Information Science and Technology, Jinan University, Guangzhou, China

⁴ International School, Jinan University, Guangzhou, China

⁵ School of International Studies, Sun Yat-sen University, Guangzhou, China

⁶ School of Journalism and Communication, Jinan University, Guangzhou, China

⁷ Faculty of Economics and Business, University of Groningen, Groningen, Netherlands

⁸ Department of Obstetrics and Gynecology, Brigham and Women’s Hospital, Boston, MA, United States

⁹ Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Harvard University, Boston, MA, United States

¹⁰ Department of Obstetrics & Gynaecology, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong)

¹¹ School of Public Health, The University of Hong Kong, Hong Kong, China (Hong Kong)

¹² Multidisciplinary, Collaborative Research Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, St Mary’s Campus, Imperial College London, London, United Kingdom

*these authors contributed equally