Trustworthy AI isn’t just about predicting the right outcome; it’s about knowing how confident we should actually be.

AI & Society, states that algorithmic systems often construct competing but equally valid “model-worlds,” offering empirical support for a philosophical claim that evidence alone cannot uniquely ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Background Anticoagulation non-adherence is attributed to myriad factors in patient populations across the world. While direct oral anticoagulants (DOACs) have demonstrated several clinical advantages ...

Introduction Cerebral palsy (CP) is a non-progressive condition involving movement and muscle tone difficulties due to injury to the developing brain. Most cases arise around birth, but a smaller ...

A peer-reviewed study of 64,988 U.S. college students has drawn a sharp line between heavy social media use and loneliness, ...

Objectives Since 1985, the international healthcare community has recommended the ideal rate of caesarean section (CS) to be 10%–15% at the national level. The literature has reported that overused CS ...

Background As the threat of child malnutrition increases, the focus remains mostly on short-term consequences. Long-term sequelae are increasingly recognised but lack strong evidence, and many studies ...

Introduction Perinatal depression poses substantial risks to both mothers and their offspring. Given its chronic and ...

Introduction The American Academy of Pediatrics and an editorial in The Lancet encouraged further comprehensive research on digital media’s impact on adolescent health. Given the lack of previous ...

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...