The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular biomarkers, including those from OCT angiography, according to data ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

From Human Judgment to Algorithmic Intelligence Traditional driving relies on human perception, reaction time, and experience. Machine learning replaces this with systems that can analyse millions of ...

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 ...

How AI-driven admission and discharge prediction can help emergency departments improve throughput, reduce delays, and support clinicians without replacing clinical judgment.

The achievement was made by uncovering and activating capacity that had always been there: Staff just couldn't see it until they implemented consistent processes and system-wide analytics.

Healthcare AI moved beyond the pilot phase in 2025. From saving hundreds of lives to reducing costs by $20 million to more than $100 million annually, health systems started experiencing measurable ...

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

That’s the aim of predictive cyber resilience (PCR)—an emerging approach to security built on intelligence, automation and ...