Predicting Renal Tumor Pathology From Intraoperative Gross Appearance: An AI-Based Pilot Study.

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Bibliographic Details
Title: Predicting Renal Tumor Pathology From Intraoperative Gross Appearance: An AI-Based Pilot Study.
Authors: Patel MH; Hackensack Meridian School of Medicine, Nutley, NJ., Lodha R; Cleveland Clinic Lerner College of Medicine, Cleveland, OH., Millan B; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Blachman-Braun R; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Loebach L; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Pramod N; Cleveland Clinic Lerner College of Medicine, Cleveland, OH., Saini J; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Koller C; Department of Urology, Hackensack University Medical Center, Hackensack, NJ., Stecko H; Ohio State University College of Medicine, Columbus, OH., Gurram S; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Turkbey B; Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Linehan WM; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD., Ball MW; Urologic Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD. Electronic address: mark.ball@nih.gov.
Source: Urology [Urology] 2026 Jun 22. Date of Electronic Publication: 2026 Jun 22.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Science Country of Publication: United States NLM ID: 0366151 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1527-9995 (Electronic) Linking ISSN: 00904295 NLM ISO Abbreviation: Urology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1527-9995
DOI:10.1016/j.urology.2026.06.026