Timothy R. Smith

Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review

2017 · 450 Zit. · World Neurosurgery

Natural and Artificial Intelligence in Neurosurgery: A Systematic Review

2017 · 254 Zit. · Neurosurgery

An introduction and overview of machine learning in neurosurgical care

2017 · 176 Zit. · Acta Neurochirurgica

Survival prediction of glioblastoma patients—are we there yet? A systematic review of prognostic modeling for glioblastoma and its clinical potential

2020 · 53 Zit. · Neurosurgical Review

Natural Language Processing for Automated Quantification of Brain Metastases Reported in Free-Text Radiology Reports

2019 · 50 Zit. · JCO Clinical Cancer Informatics

Automating Clinical Chart Review: An Open-Source Natural Language Processing Pipeline Developed on Free-Text Radiology Reports From Patients With Glioblastoma

2020 · 19 Zit. · JCO Clinical Cancer Informatics

FDA-approved machine learning algorithms in neuroradiology: A systematic review of the current evidence for approval

2023 · 15 Zit. · Artificial Intelligence in Medicine

Traditional Machine Learning Methods versus Deep Learning for Meningioma Classification, Grading, Outcome Prediction, and Segmentation: A Systematic Review and Meta-Analysis

2023 · 12 Zit. · World Neurosurgery

Information-Based Medicine in Glioma Patients: A Clinical Perspective

2018 · 11 Zit. · Computational and Mathematical Methods in Medicine

Machine Learning in the Classification of Pediatric Posterior Fossa Tumors: A Systematic Review

2022 · 10 Zit. · Cancers

Artificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods

2025 · 4 Zit. · European Spine Journal

Letter: Big Data Research in Neurosurgery: A Critical Look at This Popular New Study Design

2018 · 2 Zit. · Neurosurgery

Improving Outcomes: Big Data and Predictive Analytics

2018 · 1 Zit. · Elsevier eBooks

Artificial Intelligence and Healthcare Ethics

2021 · 0 Zit.