This study evaluates the performance of four generative AI models in addressing healthcare ethics scenarios, providing insights into their potential application in clinical ethics decision-making.
This study introduces a novel machine learning approach for predicting injury risk in collegiate athletes based on dynamic threshold modeling of inter-limb symmetry measurements.
This paper provides a comprehensive comparison between remote closed-source Large Language Models and local open-source Small Language Models, focusing on implementation considerations and practical deployment in healthcare settings.
This study examines the disparate impacts of private equity hospital ownership on radiology services in rural versus urban settings, analyzing both financial outcomes and quality metrics.
This study compares the Reactive Strength Index – Modified (RSI-mod) between NCAA football players and other male collegiate athletes, providing insights into sport-specific performance characteristics.
This study examines the impact of virtual interviews on diversity in Physician Assistant programs, comparing pre and post-COVID-19 admission cycles and their effects on program diversity metrics.
This study examines the external validity of the Parsley Symptom Index electronic Patient-Reported Outcome Measure (ePROM) instrument in patients with multiple chronic diseases, providing crucial insights into its effectiveness across diverse patient populations.
This research provides a comprehensive analysis of DCAT-compliant data catalogs across various governmental entities in the United States. Through examining federal, state, county, city, and territorial data catalogs, this study identifies key characteristics, common themes, and patterns in how public sector organizations structure and share their data resources.
This study evaluates the feasibility and acceptability of implementing a large-scale holistic telehealth program for chronic disease care through Parsley Health, providing valuable insights into the effectiveness of comprehensive virtual healthcare delivery.
This prospective cohort study evaluates the validity of the Parsley Symptom Index, an electronic Patient-Reported Outcomes Measure specifically designed for telehealth applications.