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Artificial intelligence-assisted uroflowmetry and automated evaluation of lower urinary system symptoms

Year: 2025

Type: article

Source: Urologia Journal

DOI: 10.1177/03915603251406813

Authors: Hakan Şığva, Arif Mehmet Duran, Berat Deniz, Kadir Körpe, Mehmet Sevim

Language: English

Topic: Urinary Bladder and Prostate Research

Subfield: Urology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7117358566

FWCI: 0.904

Cites: 16

Cited by: 1

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