Artificial Intelligence-powered Prediction of Brain Tumor Recurrence After Gamma Knife Radiotherapy: A Neural Network Approach (P3-6.004)

To develop and evaluate a deep learning model for predicting brain tumor recurrence following Gamma Knife radiotherapy using multimodal MRI images, radiation therapy details, and clinical parameters.

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Publication Details

Journal
Neurology
Published
2025-04-07
DOI
https://doi.org/10.1212/wnl.0000000000208805
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence-powered Prediction of Brain Tumor Recurrence After Gamma Knife Radiotherapy: A Neural Network Approach (P3-6.004)

Maharshi Pandya, Ananya Anand, Dhruv Patel
Neurology
Brain Tumor Detection and Classification
article

Artificial Intelligence-powered Prediction of Brain Tumor Recurrence After Gamma Knife Radiotherapy: A Neural Network Approach (P3-6.004)

Maharshi Pandya, Ananya Anand, Dhruv Patel
article en

Abstract

To develop and evaluate a deep learning model for predicting brain tumor recurrence following Gamma Knife radiotherapy using multimodal MRI images, radiation therapy details, and clinical parameters.

NeurologyVol. 104(7_Supplement_1)
University of Illinois Urbana-Champaign (US), Illinois College (US)
Good health and well-being
Openalex Percentile: Top 91%
Brain Tumor Detection and Classification
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