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Dataset Information

Satisfactory Evaluation of Call Service Using AI After Ureteral Stent Insertion: Randomized Controlled Trial.


ABSTRACT:

Background

Ureteral stents, such as double-J stents, have become indispensable in urologic procedures but are associated with complications like hematuria and pain. While the advancement of artificial intelligence (AI) technology has led to its increasing application in the health sector, AI has not been used to provide information on potential complications and to facilitate subsequent measures in the event of such complications.

Objective

This study aimed to assess the effectiveness of an AI-based prediction tool in providing patients with information about potential complications from ureteroscopy and ureteric stent placement and indicating the need for early additional therapy.

Methods

Overall, 28 patients (aged 20-70 years) who underwent ureteral stent insertion

SUBMITTER: Cho U 

PROVIDER: S-EPMC11795156 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature