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AI-assisted diagnosis of renal cell carcinoma: educational needs and cognitive assessment based on the WHO

Yuxi He1, Xiaoxue Yin2, Xu Shi1

  • 1Department of Urology, Institute of Urology, Sichuan Clinical Research Center for kidney and urologic diseases, West China Hospital, Sichuan University, No.37 Guoxue Alley, Wuhou District, Chengdu, Sichuan Province, 610041, China.

BMC Medical Education
|October 2, 2025
PubMed

Keywords:
Artificial intelligenceCross-sectional studyMedical educationPathology diagnosisRenal cell carcinoma

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