Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.

We are in this period – the days immediately following Christmas – December 25. The intense religious and festive two days ...

I was saved by God to make America great again,” Donald Trump said, a line that circulated widely during his political ...

Whether you're a scientist brainstorming research ideas or a CEO hoping to automate a task in human resources or finance, you'll find that artificial intelligence (AI) tools are becoming the ...

MIT researchers have developed a new method for designing 3D structures that can be transformed from a flat configuration ...

Christmas tree farms around the world are increasingly turning to drones, artificial intelligence (AI), satellite imaging, ...

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 ...

Artificial Intelligence (AI) has significant potential to transform neurology by enhancing the diagnosis and treatment of brain diseases. Current tools use ...