OBJECTIVE: To systematically evaluate training sample size adequacy in externally validated machine learning (ML)-based radiomics models published in high-impact journals and quantify the gap between current practice and theoretical minimum requireme... read more
Aortic stenosis is associated with significant morbidity and mortality if left untreated. Nurse practitioners in primary care are uniquely positioned to identify early signs of this condition and are often the frontline provider for patients. Unfortu... read more
BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) remains one of the most devastating types of stroke, with high mortality and long-term disability. Minimally invasive hematoma evacuation techniques have been developed to improve outcomes by red... read more
Participatory processes in the development of AI systems in a clinical context: A qualitative secondary analysis Abstract: Background: Despite technological advances, the implementation of clinical AI systems frequently fails. Participatory approache... read more
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