Masaki Kobayashi

Assistant professor

Institute of Science Tokyo

Japan

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About

Masaki Kobayashi is an Assistant Professor at the Institute of Science Tokyo, Japan. His research primarily focuses on urological oncology, with recent articles exploring racial disparities in patient outcomes for renal cell carcinoma, predictive modeling for surgical complications, and innovations in machine learning applications for urological surgery. He is also involved in developing nomograms and software to enhance prognostic predictions in nonmetastatic kidney cancers.

Articles (10)

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

Collaborators (2)

Riccardo Autorino

Professor of Urology

Rush University Rush Medical College

UNITED STATES

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Giovanni Lughezzani

Associate Professor

Humanitas University

ITALY

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Masaki Kobayashi

Research Interests

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Articles (10)

Propensity Score-Matched Analysis of Radical and Partial Nephrectomy in pT3aN0M0 Renal Cell Carcinoma

Racial Disparities in Patient Survival and Clinical Features of Recurrence After Surgery for Nonmetastatic Renal Cell Carcinoma: An International Multicenter Study

Association of Elevated Neutrophil-to-Lymphocyte, Platelet-to-Lymphocyte, and De Ritis Ratios With Major Complications After Surgery for Renal Cell Carcinoma: A Pathway to Optimize Charlson Comorbidity Index and Preoperative Predictive Modeling.

UNIK (Urologic Non-Neoplastic Investigation of Kidneys): a machine learning approach to decode benign lesion.

Pioneering AI-guided fluorescence-like navigation in urological surgery: real-time ureter segmentation during robot-assisted radical cystectomy using convolutional neural network.

Paraneoplastic and symptomatic score (PRIMAL) for prediction of overall and cancer-specific survival after surgery in patients with renal cell carcinoma.

Development and validation of nomograms and integrated software incorporating preoperative C-reactive protein level for prognostic prediction of nonmetastatic clear cell renal cell carcinoma: Results from the International Marker Consortium for Renal Cancer (INMARC) Registry.

Racial disparity in preoperative C-reactive protein level for predicting prognosis of patients with non-metastatic clear cell renal cell carcinoma: INMARC study.

The need for a second transurethral resection in high-risk non-muscle-invasive bladder cancer based on the Vesicle Imaging-Reporting and Data System.

Prolonged hypoglycemia after the resection of pheochromocytoma in a hemodialysis patient

Collaborators (2)

Riccardo Autorino

Giovanni Lughezzani

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