Evaluation of large language models in assigning PI-RADS v2.1 categories for prostate MRI reports

Authors

Betül Akdal Dölek (ORCID: https://orcid.org/0000-0002-8556-6278)
Muhammed Said Beşler (ORCID: https://orcid.org/0000-0001-8316-7129)

Institutions

Bilkent University (TR)
Başkent University Hospital (TR)
Istanbul Medeniyet University (TR)

Publication Details

Journal: BMC Urology
Published: 2026-01-02
DOI: https://doi.org/10.1186/s12894-025-02038-5
Primary Topic: Prostate Cancer Diagnosis and Treatment
Type: article
Field-Weighted Citation Impact: 0.00

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article

Evaluation of large language models in assigning PI-RADS v2.1 categories for prostate MRI reports

Betül Akdal Dölek, Muhammed Said Beşler

Jan 2, 2026

BMC Urology

Prostate Cancer Diagnosis and Treatment

article

Evaluation of large language models in assigning PI-RADS v2.1 categories for prostate MRI reports

Betül Akdal Dölek, Muhammed Said Beşler

January 2, 2026article en

Abstract

No abstract available for this paper.

BMC UrologyVol. 26(1)

Bilkent University (TR), Başkent University Hospital (TR), Istanbul Medeniyet University (TR)

Peace, Justice and strong institutions

Openalex Percentile: Top 99%

Prostate Cancer Diagnosis and Treatment

DOI Open Access PDF OpenAlex

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Evaluation of large language models in assigning PI-RADS v2.1 categories for prostate MRI reports — Betül Akdal Dölek, Muhammed Said Beşler · BMC Urology (2026) | TGRS Research Map | TGRS