The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
The American Journal of Managed Care

Predicting Severe Diabetes Complications Using Administrative Claims Data in Maryland

Predictive risk scores created using administrative claims and publicly available social determinants of health data strongly ...
Frontiers

Translating Machine Learning and Artificial Intelligence in Medicine: Focus on Clinical Impact

Artificial intelligence is reshaping modern medicine at an unprecedented pace. Predictive models now rival or exceed traditional clinical tools in accuracy, ...
Business Wire

CCS Launches PropheSee™, an AI-Powered Predictive Model that Improves Therapy Adherence for People Living with Diabetes

DALLAS--(BUSINESS WIRE)--CCS — leading provider of clinical solutions and home-delivered medical supplies for those living with chronic conditions — today announced PropheSee ™ a new, AI-powered ...
Healio

Automated machine-learning models may help predict diabetic retinopathy progression

Please provide your email address to receive an email when new articles are posted on . The machine-learning model successfully identified all eyes with mild NPDR that progressed within 1 year. The ...
Fierce Healthcare

Not enough hospitals are testing their predictive AI models for accuracy, bias, study finds

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...