Applications of Artificial Intelligence and Machine Learning in Prediabetes: A Scoping Review.

Journal: Journal of diabetes science and technology
Published Date: Jul 8, 2025

Abstract

INTRODUCTION: Prediabetes is a prevalent condition in which early detection and lifestyle interventions can prevent or delay progression to diabetes. Artificial intelligence (AI) and machine learning (ML) offer enhanced tools for diagnosis, risk stratification, and scalable delivery of lifestyle interventions. This review synthesizes current applications of AI/ML in patients with prediabetes.

Authors

  • Benjamin Lalani
    Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Rohan Herur
    Division of Endocrinology, Diabetes & Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Daniel Zade
    Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
  • Grace Collins
    Division of Endocrinology, Diabetes & Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Devin M Dishong
    Division of Endocrinology, Diabetes & Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Setu Mehta
    Division of Endocrinology, Diabetes & Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Jalene Shim
    Division of Endocrinology, Diabetes & Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Yllka Valdez
    Division of Endocrinology, Diabetes & Metabolism, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.
  • Nestoras Mathioudakis
    School of Medicine, Johns Hopkins University, Baltimore, MD, USA.

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