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

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 ...

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 ...

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 ...

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 ...

Introduction The UN General Assembly in 2018 passed a resolution to eliminate obstetric fistula within a decade. Because the ...

NOAA is using those traditional forecasting models as frameworks for its new AI forecasting systems. The agency has estimated that the AI programs will require between 91% and 99% less computing ...

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.

A research team affiliated with UNIST has unveiled a novel AI system capable of grading and providing detailed feedback on ...