Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global
pandemic, can reform the approach to diagnosis and management of this chronic condition …

There is clear evidence to suggest that diabetes does not affect all populations equally.
Among adults living with diabetes, those from ethnoracial minority communities—foreign …

In the past few years, the growth of diabetes among people became exponential. A health
report tells that about 347 million of world populations are affected by diabetes. Diabetes not …

Background Artificial intelligence (AI) is a broad outlet of computer science aimed at
constructing machines capable of simulating and performing tasks usually done by human …

Aim The aim of this review is to examine the effectiveness of artificial intelligence in
predicting multimorbid diabetes‐related complications. Background In diabetic patients …

Background and objectives Pre-diabetes has been identified as an intermediate diagnosis
and a sign of a relatively high chance of developing diabetes in the future. Diabetes has …

Aim To investigate whether stratifying participants with prediabetes according to their
diabetes progression risks (PR) could affect their responses to interventions. Methods We …

In recent years, artificial intelligence (AI) shows promising results in the diagnosis,
prediction, and management of diseases. The move from handwritten medical notes to …

The discourse amongst diabetes specialists and academics regarding technology and
artificial intelligence (AI) typically centres around the 10% of people with diabetes who have …

Integrated personalized diabetes management (IPDM) has emerged as a promising
approach to improving outcomes in patients with diabetes mellitus (DM). This care approach …