In the future, large language models (LLMs) may enhance the delivery of healthcare, but there
are risks of misuse. These methods may be trained to allocate resources via unjust criteria …

Background Excessive electronic health record (EHR) alerts reduce the salience of actionable
alerts. Little is known about the frequency of interruptive alerts across health systems and …

Despite advancements in precision and effectiveness of microwave ablation for tumor
management, accurately predicting ablation zone geometry and minimum ablation margin …

… Hannah B Huth recently graduated with a bachelor's degree from Indiana University and
will be continuing her education in medical school at the University of Tennessee Health …

Publicly available audio data presents a unique opportunity for the development of digital
health technologies with large language models (LLMs). In this study, YouTube was mined to …

… Samuel F Huth Samuel F Huth … 40% or 21% of the HFNC requirements (Figure 3, Panels
A–B). Treatment duration estimates from our study seem to suggest that some patients stayed in …

Background Electronic health records (EHRs), computerized provider order entry (CPOE),
and patient portals have experienced increased adoption by health care systems. The …

Background and objective Focal therapy (FT) is increasingly recognized as a promising
approach for managing localized prostate cancer (PCa), notably reducing treatment-related …

… A×B to denote such binary relations on the set A×B. In that case, we call set A the domain of
relation R, whereas set B is … Analogously, for an element b in B we define its co-image under …

… HANNAH HUTH is currently pursuing the Medical degree with the Health Science Centre,
University of Tennessee. She is participating in the prestigious Medical Research Scholars …