LLM in Urodynamic Education

Starting soon · Not applicable

Conditions studied: Urodynamic Interpretation Skills

In brief

Urodynamic investigations, including cystometry, pressure-flow studies, and electromyography, are considered the gold standard for the objective diagnosis of lower urinary tract dysfunction according to current international guidelines. However, accurate interpretation requires simultaneous analysis of multiple pressure signals, identification of artifacts, and application of complex nomograms, making urodynamics one of the most challenging diagnostic skills to master during urology residency training. Traditional training largely depends on apprenticeship-based exposure, which is highly variable across training centers. The primary aim of this prospective educational study is to evaluate the effectiveness of a large language model (LLM), as an interactive tutor in improving urology residents' urodynamic interpretation skills and learning curve. By providing structured theoretical instruction, case-based guidance, and real-time feedback through a standardized case pool, this study investigates whether AI-assisted mentorship can accelerate skill acquisition, enhance diagnostic accuracy, and offer a standardized, accessible educational model for urodynamic training.

Key facts

Study ID

NCT07394335

Run by

Huseyin Kocakgol

People needed

13

Starts

2026-03-15

Expected to finish

2026-05-15

Last updated by the study team

2026-02-06

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Urology residents currently enrolled in an accredited urology training program
• No prior formal certification in urodynamic training

You may not qualify if…

• Prior completion of a formal urodynamic training course
• Declining to provide informed consent

Where it is running

• University of Health Sciences, Erzurum City Hospital, Department of Urology — Erzurum, Turkey (Türkiye)

Full record on ClinicalTrials.gov

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