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Integrating artificial intelligence and machine learning into risk prediction for type 2 diabetes: A model for early identification of high-risk populations.

Diabetes research and clinical practice - 1 Aug 2026

Chilu Kuri Kiran Anya, Viola Viola, Pozzilli Paolo

Abstract excerpt

Family history, body mass index (BMI), and ethnicity are three key, well-established determinants of susceptibility to type 2 diabetes mellitus (T2DM), reflecting genetic predisposition, modifiable metabolic risk, and biological as well as social influences, respectively. These factors interact in complex, non-linear patterns that are not fully captured by conventional risk prediction models. This review examines...

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PMID: 42331228
DOI: 10.1016/j.diabres.2026.113389

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

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