Publications by authors named "J C Mershon"

Background: OpenAI's ChatGPT is a large language model-based artificial intelligence (AI) chatbot that can be used to answer unique, user-generated questions without direct training on specific content. Large language models have significant potential in urologic education. We reviewed the primary data surrounding the use of large language models in urology.

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Context: Despite a high prevalence of neurogenic bladder (NGB) in patients with spinal cord injury (SCI), clinicians are unable to predict long-term bladder outcomes due to variable phenotypes of bladder dysfunction. This study investigates if early bladder events, infections, and spinal cord injury characteristics during rehabilitation admission affect bladder outcomes one year after SCI.

Methods: This retrospective study included patients with SCI admitted to a tertiary rehabilitation center between 1 January 2016 and 1 January 2020.

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Article Synopsis
  • - The study focuses on a half-day simulation and didactic program designed to enhance second-year medical students' exposure to urology, addressing the lack of early specialty-specific training.
  • - Fifty-seven medical students participated, with a significant increase in their knowledge about urology and urologic procedures, reporting a 37% gain post-curriculum.
  • - The program was well-received, as 80% of participants expressed interest in surgical specialties, and many recommended the experience to peers, highlighting its effectiveness in early medical education.
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Purpose: To compare the oncological and renal function outcomes for patients receiving microwave ablation (MWA) in tumors < 3 and 3-4 cm.

Methods: Retrospective analysis of a prospectively maintained database identified patients with < 3 or 3-4 cm renal cancers undergoing MWA. Radiographic follow-up occurred at approximately 6 months post-procedure and annually thereafter.

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The phenomenon of reduced athletic performance following sustained, intense training (Overtraining Syndrome, and OTS) was first recognized more than 90 years ago. Although hundreds of scientific publications have focused on OTS, a definitive diagnosis, reliable biomarkers, and effective treatments remain unknown. The present review considers existing models of OTS, acknowledges the individualized and sport-specific nature of signs/symptoms, describes potential interacting predisposing factors, and proposes that OTS will be most effectively characterized and evaluated via the underlying complex biological systems.

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