Generative artificial intelligence in predictive analysis of diabetes and its complications: a narrative review.

ABSTRACT:

Background and objective

Diabetes mellitus (DM), particularly type 2 diabetes (T2D), represents a significant global health crisis, often complicated by severe and progressive conditions such as retinopathy, neuropathy, and cardiovascular disease. Traditional diagnostic approaches frequently detect these complications at advanced stages, limiting the opportunity for early, effective intervention. This review aims to examine how recent advancements in generative artificial intelligence (AI), particularly large language models (LLMs), can transform diabetes management by enabling earlier detection and more personalized interventions.

Methods

A narrative review was conducted to evaluate the current literature on the application of generative AI and LLMs in diabetes care. The re

SUBMITTER: Osonuga A 

PROVIDER: S-EPMC12592000 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature