Medical image segmentation is a fundamental process in biomedical analysis that involves partitioning medical images into meaningful regions to identify and delineate anatomical structures, tissues, or pathological areas. This technique enables precise quantification and visualization of organs, lesions, and other clinically…

Predictive analytics offers a powerful opportunity to improve women’s health after childbirth by preventing obstetric anal sphincter injuries (OASI). By integrating large-scale clinical data and patient-specific risk factors, predictive models can identify women at higher risk for OASI before or during…

Researchers have developed an innovative artificial intelligence system that can detect, classify, and segment hip fractures in x-ray images with high precision. Trained on thousands of annotated radiographs, the model identifies the exact location and type of fracture—whether in the femoral…