Artificial intelligence (AI) is emerging as a powerful tool to predict food consumption patterns and guide policy decisions, ...

In asset-intensive industries, misclassified parts and inaccurate bills of materials cost far more than storeroom space. AI ...

Researchers have unveiled an interpretable, lightweight AI text detection framework using classical machine learning models that achieves near-perfect accuracy while lowering computational costs.

Background Intimate partner violence (IPV) is a major public health challenge in low- and middle-income countries (LMICs).

Objectives Development of a new ultrasound (US) synovitis score (SONography in Arthritis and Rheumatism (SONAR)-7) with ...

A locally trained sepsis model shows early warning potential in acute care, but its accuracy varies by the sepsis definition used, and high false positives limit its clinical utility.

Fine-tuning RAG embedding models for precision triggers a retrieval accuracy tradeoff that standard benchmarks won't catch ...

Predicting the outcome of mental health therapy is a vital goal. Statistical models have been used. Now, we turn to using AI ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Artificial intelligence is transforming astronomy by automating celestial object classification, detecting exoplanets with high precision, and analyzing historical sky records to date supernovae.

Background Understanding drivers of high healthcare utilisation costs among individuals experiencing first-episode psychosis ...

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