npj Digital Medicine, Published online: 01 April 2026; doi:10.1038/s41746-026-02589-3
Multidimensional evaluation of large language models in radiology report readability
BackgroundArtificial intelligence (AI) is increasingly integrated into healthcare, yet the attitudes and knowledge of nurses, who are the key mediators of AI implementation, remain underexplored.
IntroductionIn India, untreated depression among women contributes significantly to morbidity and mortality, underscoring an urgent need for accessible and ethically grounded mental health interventions. Mobile
BackgroundStress is a critical factor in the operating room (OR) and affects both the performance and well-being of surgical staff. Measuring and mitigating this stress
Background: Digital sexually transmitted and blood-borne infection (STBBIs) testing services are used to improve testing access, but might replicate existing social inequities. Previous research has
Background: Automated structuring of radiology reports is essential for data utilization and the development of medical artificial intelligence models. However, manual annotation by experts is
npj Digital Medicine, Published online: 01 April 2026; doi:10.1038/s41746-026-02589-3
Multidimensional evaluation of large language models in radiology report readability