Pelvic floor dysfunction (PFD) presents significant issues related to pelvic organ abnormalities and dysfunction, ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Objective Longitudinal data from three UK birth cohorts (born in 1958, 1970 and 2001) were used to (1) document the historic ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

ACCURATELY predicting which breast cancer patients will respond completely to neoadjuvant chemotherapy (NAC) remains a ...

Background Heart auscultation is a widely used and cost-effective clinical tool for detecting valvular heart disease (VHD), ...

Discover how statistics influences your daily life, from weather forecasts to social media algorithms, making data-driven decisions routine.

Pregnant individuals commonly reported hesitancy toward RSVpreF and nirsevimab, indicating the need for efforts to promote the safety and uptake of RSV immunization.

Introduction Androgenetic alopecia (AGA), the most prevalent form of hair loss in clinical practice, affects 21.3% of the male population in China. The condition significantly impacts patients’ ...