DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either 12-lead or single-lead electrocardiogram (ECG) data, has been recently developed ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
DiaCardia, a novel artificial intelligence model that can accurately identify individuals with prediabetes using either ...
Africa accounts for the majority of global births affected by the condition, yet universal newborn screening remains rare.
Health tracking technologies offer insights into wellbeing but may also cause anxiety and data misinterpretation. Evaluating ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
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, ...
ABSTRACT: The recent surge in demand for timely and accurate health information has highlighted the need for more advanced data analysis tools. To reduce the incidence of preventable medical errors, ...
Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...
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