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 ...
BMJ Open

Development and validation of a risk prediction model for chronic kidney disease among adult hypertensive patients having follow-up at University of Gondar Comprehensive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
Scientific Research Publishing

A Brief Discussion on the Theory and Application of Artificial Intelligence in Medical Diagnostics ()

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

Multimodal Learning for Traffic Risk Prediction: Combining Aerial Imagery With Contextual Data

Accurately predicting traffic risks at urban intersections is essential for improving road safety. While traditional models use data sources like road traffic conditions, geometry, and signals, they ...
IEEE

A Machine Learning Framework for Fire Risk Prediction With Response and Proximity Insights

Abstract: Advances in artificial intelligence (AI) and machine learning (ML) have significantly enhanced fire risk assessment by enabling predictive analytics, real-time decision support, and ...
Workiva

2026 Predictions for Finance, Risk, and Sustainability

With AI experimentation shifting toward generating AI returns, the need for trusted data and quantifiable AI impact will come into sharp focus next year. From shifting regulatory requirements to new ...