6901 papers
This study demonstrates that a longer preoperative membranous urethral length measured on MRI independently predicts better quality-of-life recovery and a lower risk of stress urinary incontinence six months after Holmium laser enucleation of the prostate.
This study reveals that avapritinib treatment in PDGFRA-altered high-grade glioma induces a compensatory MAPK pathway activation that sustains tumor survival, and demonstrates that combining avapritinib with MEK inhibition effectively suppresses this adaptive resistance to produce durable therapeutic benefits.
This retrospective case-control study demonstrates that combining baseline elevated neutrophil-lymphocyte ratio (NLR) and decreased mean corpuscular volume (MCV) significantly improves the prediction of central line-associated bloodstream infections (CLABSI), offering a valuable tool for early risk stratification and targeted prevention.
This population-based study of Queensland cancer registry data reveals that while haematological malignancy survivors do not face a statistically significant overall excess risk of cutaneous melanoma, they exhibit marked subtype-specific variations with elevated risks particularly among males, those aged 50–79, and individuals with specific lymphoid subtypes, supporting the need for risk-stratified skin surveillance.
This quasi-experimental study involving 69 preclinical medical students in Malaysia found that while AI tools like ChatGPT were positively perceived as effective supplementary resources for clarifying concepts and saving time in pharmacology tutorials, they did not produce measurable knowledge gains, likely due to high baseline performance, suggesting they should be integrated cautiously with faculty oversight.
This mixed-methods study involving 27 lonely older adults identifies six critical implementation requirements—centered on trust, verifiable identity, human-in-the-loop support, and low-burden usability—to guide the effective design of digital loneliness interventions, including LLM-enabled mHealth solutions.
This study introduces the AMESI CT-Score, a radiological tool based on specific CT signs that demonstrates moderate accuracy in predicting irreversible bowel injury in arterial occlusive acute mesenteric ischemia to aid clinical triage, while noting that the absence of these signs does not rule out necrosis.
This study demonstrates that an image-only artificial intelligence system, validated across four Chilean hospitals, accurately predicts delivery dates with a mean absolute error of 6.9 days and significantly outperforms conventional dating methods—particularly for late-presenting pregnancies lacking reliable early gestational data—by eliminating the need for biometric or demographic inputs.
Through a co-design approach involving community leadership and cultural relevance, an SMS health messaging program was successfully implemented and evaluated in a very remote Aboriginal community, demonstrating high acceptability, technical feasibility, and utility for health promotion.