Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

With populations aging rapidly worldwide, heart failure has become one of the most pressing medical and social challenges.

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

All of this feels perfectly logical when you’re dealing with a hypothetical lottery. But here’s the question: why does that ...

Ayikwa, L. C., Mfiri, K. J., & Mbende, M. N. (2025) Validation of the Workplace Bullying Spectrum Scale: A Study of the ...

As global higher education transforms, English proficiency assessments must fairly reflect evolving and diverse learning ...

Introduction A substantial number of patients with major depressive disorder experience non-remission despite treatment with psychotherapy and several antidepressant drugs. This has increased the ...

Univariate analysis showed that factors such as grade level, family economic status, reasons for choosing nursing major, exposure to AI related courses/training, and daily AI usage time had ...

Abstract: This paper investigates actionable measures to enhance the interpretability of machine learning models, addressing the critical need for transparency in decision-making processes. By ...

A new model aims to help hospitals and health system leaders better understand how investments in nursing contribute to financial sustainability. Researchers from the Johns Hopkins University School ...