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Explainable ML/AI Model for Estimating Postoperative Survival in Renal Cell Carcinoma Brain Metastasis Patients

delete2026-05-28
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OA
AI
Z
Zuhair Majeed, MD
S
Semiha Özgül
P
Peng Li, M.Eng
D
Dima Suki
Y
Yusuf Açıkgöz
E
Eric Jonasch, MD
S
Sherise Desiree Ferguson, MD
M
Merve Hasanov
E
Elshad Hasanov *
DOI:10.1093/noajnl/vdag140delete
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Abstract

Abstract

En 中文
Brain metastases (BM) from renal cell carcinoma (RCC) are associated with poor prognosis and limited survival. Prognostic tools specific to patients with RCC undergoing surgical resection of BM are lacking, and current models do not incorporate advanced machine learning (ML) approaches. This study aimed to develop and validate an ML-based model to predict overall survival (OS) after BM resection in RCC.
Keywords:
Renal cell carcinoma
Brain metastases
Machine learning
Survival prediction
Surgical resection

Journal

N
Neuro-Oncology Advances
IF:
4.1
Papers:
1.5K
Citations:
3.2K

Organization

T
The Ohio State University
Scholars:
3.7K
Papers: 1.5K
Citations: 7.4W
T
The University of Texas MD Anderson Cancer Center
Scholars:
3.3K
Papers: 731
Citations: 5.1W
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