Results presented at the 85th Scientific Sessions of the American Diabetes Association in Chicago highlight the potential for ...

In terms of diagnostic accuracy, ChatGPT's performance was evaluated based on its ability to correctly identify whether a ...

HOUSTON — Machine learning has immense potential for improving diabetes care, particularly when used by diabetes care and education specialists, according to two presenters at the American ...

Using advanced machine learning models, researchers in China were able to accurately predict incidence of gestational diabetes among pregnant women during their first trimester. GDM affects up to ...

Using machine learning, it could be possible to precisely identify high-risk groups of future diabetes patients better than using existing risk scores. In addition, ...

For patients with type 2 diabetes or the APOL1-HR genotype, a machine learning test integrating biomarkers and electronic health record data demonstrated improved prediction of kidney failure ...