Performance of AI in Predicting the Progression of Gestational Diabetes to Type 2 Diabetes: Systematic Review and Meta-Analysis

Alaa Abd-alrazaq   ^{1, 2} , PhD ;   Shahira Padinharepattel Mohamed   ³ , MSc ;   Mohannad Alajlani   ⁴ , PhD ;   Aliya Tabassum   ⁵ , PhD ;   José Manuel Ordóñez-Mena   ⁶ , PhD ;   Shehel Yoosuf   ¹ , PhD ;   Mais Alkhateeb   ¹ , PhD ;   Arfan Ahmed   ¹ , PhD ;   Mohammed Bashir   ⁷ , MD ;   Junaid Qadir   ⁵ , PhD ;   Ali AlSanousi   ⁸ , PhD ;   Javaid Sheikh   ¹ , MD

¹ AI Center for Precision Health, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha, Doha, Qatar

² Department of Biomedical Sciences, College of Health Sciences, Qatar University, Doha, Qatar

³ Division of Information and Computing Technology, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha, Qatar

⁴ Institute of Digital Healthcare, WMG, University of Warwick, Warwick, England, United Kingdom

⁵ Computer Science and Engineering Department, College of Engineering, Qatar University, Doha, Qatar

⁶ Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom

⁷ Qatar Metabolic Institute, Hamad Medical Corporation, Doha, Qatar

⁸ Clinical Information Systems Department, Hamad Medical Corporation, Doha, Qatar