Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable model for predicting the performance of licensure examination takers. Released ...

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 ...

AI chatbot achieves high accuracy in performing clinical patient diagnostic interviews for common mental health disorders.

A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for recurrence after surgery.

Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...

The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...