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 ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...

Study: Artificial intelligence model as a tool to predict prediabetes. Image Credit: CI Photos / Shutterstock In a recent study published in the journal Scientific Reports, researchers developed a ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Background Few studies have investigated patient-reported non-motor outcomes after stroke in young adults. We aimed to assess ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated ...

A model that combines a host biomarker with a generative artificial intelligence (AI) analysis of electronic medical records ...