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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.
Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
Medscape

New Machine Learning Model Predicts In-Hospital Mortality in Acute Liver Failure

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.
BMJ

Predicting cardiovascular events from routine mammograms using machine learning

10 The George Institute for Global Health, School of Public Health, Imperial College London, London, UK Background Cardiovascular risk is underassessed in women. Many women undergo screening ...
IEEE

Optimizing Heart Disease Prediction: A Collaborative Approach of Support Vector Regression and Grey Wolf Optimizer

Heart disease is one of the leading causes of death worldwide, and accurate risk identification is essential for early intervention. This study explores the application of Support Vector Regression ...
IEEE

Plant Disease Detection using Deep Learning Models in Precision Agriculture

Abstract: Plant diseases affect agriculture worldwide due to their lower crop yields and increased pesticide need. This study explores how deep learning is used for plant disease diagnosis, ...