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AI model flags hidden breast cancers years before diagnosis in routine mammograms

Researchers evaluated four deep learning models using over 112,000 negative screening mammograms from the UK NHS to determine ...
The American Journal of Managed Care

Predicting Infection Risk in CLL Using Domain Adaptation

Domain adaptation may be a novel creative solution to predict infection risk in patients with chronic lymphocytic leukemia ...
EurekAlert!

Jeonbuk National University researchers develop an AI model for personalized blood glucose monitoring

Patients with Type 1 diabetes (T1D) require accurate and consistent monitoring of their blood glucose levels. Over the past decade, AI models have been explored to tackle this challenge; however, ...
IEEE

High accuracy Diabetes Prediction Using Logistic Regression

Abstract: Diabetes affects 537 million people worldwide, making it the deadliest and most frequent noncommunicable disease. According to studies on diabetes patients, the prevalence of diabetes in ...
IEEE

An Explainable Ai Model for Diabetes Prediction Using Random Forest

Abstract: Diabetes is a chronic metabolic disorder caused by insufficient insulin production or ineffective insulin utilization, resulting in elevated blood glucose levels. As a major global health ...
The Lancet

Prediction models for high-grade cervical lesions or worse using machine learning

aDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, 171 77, Stockholm, Sweden bCenter for Cervical Cancer Elimination, Department of Clinical Science, Intervention and ...
News-Medical.Net

Machine learning detects early brain changes linked to Alzheimer's disease

Worcester Polytechnic Institute (WPI) researchers have used a form of artificial intelligence (AI) to analyze anatomical changes in the brain and predict Alzheimer's disease with nearly 93% accuracy.