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

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

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, ...

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 ...

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 ...