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Machine learning models can be applied to identify key predictors of hepatitis development in diabetes. This will help clinicians to formulate optimal preventive or treatment strategies.
Michail Kokkorakis et al., (2023) Effective questionnaire-based prediction models for type 2 diabetes across several ethnicities: a model development and validation study, eClinicalMedicine doi ...
Automated machine-learning models accurately identified risk for diabetic retinopathy progression using ultra-widefield retinal images, according to a study published in JAMA Ophthalmology ...
An automated insulin delivery system controlled by an artificial intelligence machine learning model may perform just as well as a system using a traditional equation-based insulin dosing ...
Among a sample of over 2,400 hospitals surveyed in 2023, 65% reported using AI or predictive models. The tools were most often used to predict inpatients’ health trajectories (92%) or spot high ...
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