Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review
A Warman, AL Kalluri, TD Azad - Neurosurgical Focus, 2023 - thejns.org
OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …
increasingly prevalent in the neurosurgical literature. However, little is known about the …
Limitations in evaluating machine learning models for imbalanced binary outcome classification in spine surgery: a systematic review
Clinical prediction models for spine surgery applications are on the rise, with an increasing
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …
reliance on machine learning (ML) and deep learning (DL). Many of the predicted outcomes …
[HTML][HTML] Endoscopic and nonendoscopic approaches to single-level lumbar spine decompression: propensity score-matched comparative analysis and frailty-driven …
Objective The endoscopic spine surgery (ESS) approach is associated with high levels of
patient satisfaction, shorter recovery time, and reduced complications. The present study …
patient satisfaction, shorter recovery time, and reduced complications. The present study …
[HTML][HTML] Machine Learning in Neurosurgery: Toward Complex Inputs, Actionable Predictions, and Generalizable Translations
E Schonfeld, N Mordekai, A Berg, T Johnstone, A Shah… - Cureus, 2024 - ncbi.nlm.nih.gov
Abstract Machine learning can predict neurosurgical diagnosis and outcomes, power
imaging analysis, and perform robotic navigation and tumor labeling. State-of-the-art models …
imaging analysis, and perform robotic navigation and tumor labeling. State-of-the-art models …
Machine learning in spine surgery: a narrative review
Artificial intelligence and machine learning (ML) can offer revolutionary advances in their
application to the field of spine surgery. Within the past 5 years, novel applications of ML …
application to the field of spine surgery. Within the past 5 years, novel applications of ML …
Machine Learning And Risk Prediction Tools In Neurosurgery: A Rapid Review
J Sherman - 2024 - elischolar.library.yale.edu
INTRODUCTION: Artificial intelligence (AI) and machine learning (ML) techniques have
become highly visible in society and medicine, with some AI/ML-enabled devices receiving …
become highly visible in society and medicine, with some AI/ML-enabled devices receiving …
[PDF][PDF] Artificial Intelligence in Healthcare: 2022 Year in Review
MSC Raghav Awasthi, JB Cywinski, AK Khanna… - researchgate.net
The purpose of this review is to provide a comprehensive review of publications related to
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …
artificial intelligence (AI) applications in healthcare for the year 2022. Both the quantity and …