A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A new risk score may identify patients with node-negative pancreatic neuroendocrine tumors who face a high risk for ...

A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...

Customer churn remains a huge issue for telcos, but AI could be the key to changing that. Or, it could fail to live up to its ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

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

New NHANES data link red cell distribution width-to-albumin ratio with diabetic kidney disease risk. Learn more about this screening marker.

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

This study found that certain characteristics in linked electronic health record data across episodes of care can help identify patients with Alzheimer disease and related dementias at high risk of 30 ...

Baseline neuropsychiatric profiles in older adults stratify future cognitive decline, neuropathology, and risk for MCI or dementia.

Background The likelihood of HIV acquisition is increased following forced vaginal sex. This relates in part to ...

An interdisciplinary study released recently has revealed how artificial intelligence and data science can help preserve endangered indigenous cultural ...