AI tool can detect missed Alzheimer's diagnoses while reducing disparities

Researchers at UCLA have developed an artificial intelligence tool that can use electronic health records to identify ...
News-Medical.Net

Early warning for diabetes: AI model identifies prediabetes risk with high accuracy

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

netpulse AG Advances Digital Marketing Automation in Switzerland with AI-Powered SEO and Google Ads Integration

PRESSADVANTAGE – netpulse AG, a Swiss digital marketing agency, has implemented advanced artificial intelligence technology ...
The Lancet

Effective sample size for individual risk predictions: quantifying uncertainty in machine learning models

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...
Frontiers

Development of machine learning predictive model for type 2 diabetic retinopathy using the triglyceride-glucose index explained by SHAP method

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).
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, ...
IEEE

Machine Learning-Driven Model Predictive Control of Modular Multilevel Converters

Abstract: The Modular Multilevel Converter (MMC) has garnered significant interest recently due to its superior harmonic performance and improved efficiency in high-voltage direct current electrical ...
Frontiers

Machine learning-based prediction of hypoglycemia severity in hospitalized diabetic patients

Department of General Practice, The Affiliated Hospital of Qingdao University, Qingdao, China Objective: To identify risk factors for hypoglycemia in hospitalized patients with type 2 diabetes ...
Scientific Research Publishing

Momenzadeh, A., Shamsa, A. and Meyer, J.G. (2022) Clinical Interpretation of Machine Learning Models for Prediction of Diabetic Complications Using Electronic Health Records ...

ABSTRACT: This integrative review explores the emerging interdisciplinary approach of combining psychotherapy, artificial intelligence (AI), and kinesiology in the field of mental health care. The ...