A BMC Pediatrics study finds that a random forest model combining serum creatinine and cystatin C, further improved by adding ...

Researchers developed NiCLIP, an AI model that decodes cognitive tasks, concepts, and domains from brain activation patterns. Trained on over 23,000 papers, NiCLIP excels at group-level decoding, ...

In a population-based cohort of 8,859 adults followed for six years, component-level machine learning models showed higher ...

Machine learning for Alzheimer’s disease classification achieved up to 88.1% accuracy using clinical data, but external ...

Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...

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, ...

The current MA risk adjustment model has shortcomings, both in predictive accuracy and payment equity across the Medicare program, which could be mitigated using lessons from machine learning. MA ...