Eric Oermann

Assistant Professor

NYU School of Medicine

United States

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Eric Oermann is an Assistant Professor at NYU Grossman School of Medicine in the United States. His research focuses on areas including immune checkpoint inhibition for melanoma brain metastases, kidney transplantation data in electronic health records, and advanced deep learning applications in medical imaging. Recent publications highlight his work on the outcomes of neurosurgical procedures and the use of artificial intelligence in clinical decision-making.

Articles (13)

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2025

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2025

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2022

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2020

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2020

Collaborators (2)

Emily Johnston

Research Assistant Professor

NYU School of Medicine

UNITED STATES

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Yiting Li

New York University Grossman School of Medicine

UNITED STATES

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Eric Oermann

Research Interests

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Articles (13)

Outcomes of concurrent versus non-concurrent immune checkpoint inhibition with stereotactic radiosurgery for melanoma brain metastases

CNS-CLIP: Transforming a Neurosurgical Journal Into a Multimodal Medical Model

Generalizability of kidney transplant data in electronic health records — The Epic Cosmos database vs the Scientific Registry of Transplant Recipients

Hospitalization and Hospitalized Delirium Are Associated With Decreased Access to Kidney Transplantation and Increased Risk of Waitlist Mortality

ChatGPT Solving Complex Kidney Transplant Cases: A Comparative Study With Human Respondents

A Nationwide Study Characterizing the Risk and Outcome Profiles of Multilevel Fusion Procedures in Neuromuscular Scoliosis Patients with Neurofibromatosis Type 1

Deploying deep learning models on unseen medical imaging using adversarial domain adaptation

Robust Prediction of Non-home Discharge After Thoracolumbar Spine Surgery with Ensemble Machine Learning and Validation on a Nationwide Cohort

Development and Practical Implementation of a Deep Learning–Based Pipeline for Automated Pre- and Postoperative Glioma Segmentation

In pursuit of glioma diagnosis: the challenges and opportunities of deep neural network augmented analyses

Drivers of Prolonged Hospitalization Following Spine Surgery

Commentary: Predicting Long-Term Outcomes After Poor-Grade Aneurysmal Subarachnoid Hemorrhage Using Decision Tree Modeling

Intraoperative brain tumour identification with deep learning

Collaborators (2)

Emily Johnston

Yiting Li

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