News

The pioneering COLO-DETECT trial has demonstrated the potential of AI to significantly enhance the detection of colorectal polyps during colonoscopies.

This study demonstrates that combining vibration-controlled transient elastography with retina scanning offers a practical strategy for identifying individuals with potential liver fibrosis.

Machine learning models using MRI improve neurodevelopmental predictions in neonates with hypoxic-ischemic encephalopathy.

Male gender and high C3 levels predict early remission in idiopathic retroperitoneal fibrosis, paving the way for tailored treatment strategies.

Early menopause significantly increases the risk of heart failure in postmenopausal women, independent of adipokine levels.

A recent study evaluated the impact of a 3-month home-based exercise and self-management program on physical function in patients after lung resection surgery…

Computer-aided detection software for interpreting chest radiographs could play a crucial role in tuberculosis screening.

A comprehensive meta-analysis has identified key risk factors associated with inadequate bowel preparation before colonoscopy.