35 papers
A study of French medical students reveals that adequate AI knowledge does not improve passively with clinical training stage or specialty interest, highlighting the need for explicit AI education integrated into undergraduate medical curricula.
This multicenter retrospective study with external validation and machine learning analysis demonstrates that a higher blood urea nitrogen to albumin ratio (BAR) is an independent predictor of increased all-cause mortality at 30, 90, and 365 days in critically ill patients with non-traumatic subarachnoid hemorrhage.
This study introduces "BrainYears," a scalable, non-invasive, and cost-effective EEG-based machine learning model that accurately predicts chronological age using 643 neural features captured by a Sens.ai headset, offering a repeatable functional biomarker for assessing brain aging outside clinical settings.
This study developed a cross-tissue WGCNA pipeline anchored in the entorhinal cortex to identify a conserved five-gene transcriptomic signature in peripheral blood that effectively distinguishes asymptomatic Alzheimer's disease patients from healthy controls.