Utilizing machine learning to assess distinct depressive symptoms improves the identification of adults with suicidal ideation.

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.

Moxank Patel, Machine Learning Engineer at Meta, has worked across machine learning, information retrieval, NLP, computer vision, backend engineering and produc ...

Postdoctoral researcher Manuel Marte at Johns Hopkins University School of Medicine uses machine learning and naturalistic ...

Creating machine learning models that generate accurate results is one thing, but it's quite another to ensure model interpretability -- the ability to understand why the ML models that power AI tools ...

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine ...

A new review in the Journal of Materials Science maps how machine learning, from graph neural networks to large language models, is accelerating the design of high-entropy alloy catalysts across vast ...