Background: Large language models including GPT-4 (OpenAI) have opened new avenues in health care and qualitative research. Traditional qualitative methods are time-consuming and require expertise to capture nuance. Although large language models have demonstrated enhanced contextual understanding and inferencing compared with traditional natural language processing, their performance in qualitative analysis versus that of humans remains unexplored.
View Article and Find Full Text PDFObjective: To understand the effect of bicycle saddle shape and size on the pressure transmitted to the perineum, as prolonged perineal pressure and microtrauma amongst avid cyclists may increase the risk for complications following lower genitourinary surgery.
Methods: We tested five seats (Bontrager, Waterloo, WI) with varying levels of padding and morphology (comfort, fitness, fitness gel, race, and performance) for two different riders. The seats were installed on a Peloton stationary exercise bike (New York City, NY).
Introduction: Our primary aim was to characterize eventual publication of presented American Urological Association (AUA) Annual Meeting oncology abstracts from 1997 to 2017. We hypothesized that the percentage of abstracts presented at the AUA Annual Meeting that became published peer-reviewed manuscripts increased over time.
Methods: AUA Annual Meeting abstracts in "oncology" categories from 1997 to 2017 were identified.
Objective: To systematically aggregate and summarize existing data on fistula prevalence among patients with a history of pelvic radiotherapy for prostate cancer.
Materials And Methods: We queried PubMed, Embase, and Web of Science on October 7, 2020 for peer-reviewed publications pertaining to radiation-induced fistulas in the pelvis. For meta-analysis, we used the random-effects model.