Open Heart

Development and validation of a deep learning model for severe mitral stenosis detection from chest X-rays

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...
The Brighterside of News on MSN

MIT study uses medical CT imaging to reconstruct 5,000-year-old metal production

Around 5,000 years ago, people in what is now Iran began turning dull stone into shining metal. By heating copper ore until ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Machine Learning Techniques for Stock Market Prediction: Neural Networks and Soft Computing Approaches

Abstract: This paper provides an updated overview of recent literature on stock market prediction using machine learning methods. Neural network-based models, particularly those focused on predicting ...
IEEE

Reviving Legacy Seismic Data via Machine Learning Technique—Part 2: Estimating 3-D Seismic Volumes From 2-D Seismic Lines With VQ-VAE

Abstract: We propose a machine learning-based method that estimates a 3-D seismic volume from irregularly placed 2-D seismic lines, addressing the challenges regarding the local disturbances contained ...