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

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

  • By

  • Alaa Abd-alrazaq

  • Shahira Padinharepattel Mohamed

  • Mohannad Alajlani

  • Aliya Tabassum

  • José Manuel Ordóñez-Mena

  • Shehel Yoosuf

  • Mais Alkhateeb

  • Arfan Ahmed

  • Mohammed Bashir

  • Junaid Qadir

  • Ali AlSanousi

  • Javaid Sheikh

  • July 9, 2026

  • 0 min

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  • 1

    Gestational diabetes mellitus (GDM) significantly increases the risk of developing type 2 diabetes mellitus (T2DM) in women post childbirth.

  • 2

    30%‐50% of women with a history of GDM may develop T2DM within 5 to 10 years after delivery.

  • 3

    The global prevalence of GDM is rising due to factors like lifestyle changes, maternal age, and obesity rates.

  • 4

    Postpartum screening for T2DM in women with GDM is suboptimal, with compliance rates as low as 16%‐19%.

  • 5

    Artificial intelligence (AI) can enhance predictive accuracy for identifying women at risk of transitioning from GDM to T2DM.

Original Source(s)

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

  • by Alaa Abd-alrazaq, Shahira Padinharepattel Mohamed, Mohannad Alajlani, Aliya Tabassum, José Manuel Ordóñez-Mena, Shehel Yoosuf, Mais Alkhateeb, Arfan Ahmed, Mohammed Bashir, Junaid Qadir, Ali AlSanousi, Javaid Sheikh

  • July 9, 2026

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