Machine Learning Algorithms for Neurosurgical Preoperative Planning: A Comprehensive Scoping Review of the Literature

Abstract excerpt

<h4>Introduction</h4> Preoperative neurosurgical planning is a keen step to avoiding surgical complications, reducing morbidity, and improving patient safety. The incursion of machine learning (ML) in this domain has recently gained attention, given the notable advantages in processing large data sets and potentially generating efficient and accurate algorithms in patient care. <h4>Objective</h4> To evaluate the e...

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• Glioma Diagnosis and Treatment
• Radiomics and Machine Learning in Medical Imaging

Identifiers and source

Literature Corpus work

a6a128f0-cc7b-5d82-b574-104bdea83685

DOI

10.1101/2024.10.04.24314930