I asked a ChatGPT to write an editorial about how we can incorporate chatbots into neurosurgical research and patient care…
Efforts to apply artificial intelligence (AI) and machine learning in the medical field and
specifically in neurosurgery are actively underway. 1-7 Currently, imaging-based diagnosis …
specifically in neurosurgery are actively underway. 1-7 Currently, imaging-based diagnosis …
[HTML][HTML] Integrating Artificial Intelligence for Advancing Multiple-Cancer Early Detection via Serum Biomarkers: A Narrative Review
The concept and policies of multicancer early detection (MCED) have gained significant
attention from governments worldwide in recent years. In the era of burgeoning artificial …
attention from governments worldwide in recent years. In the era of burgeoning artificial …
Exploring the landscape of machine learning applications in neurosurgery: a bibliometric analysis and narrative review of trends and future directions
AS Levy, S Bhatia, MA Merenzon, AL Andryski… - World neurosurgery, 2024 - Elsevier
Background The field of neurosurgery has consistently represented an area of innovation
and integration of technology since its inception. As such, machine learning (ML) has found …
and integration of technology since its inception. As such, machine learning (ML) has found …
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 …
Using machine learning and deep learning algorithms to predict postoperative outcomes following anterior cervical discectomy and fusion
R Khazanchi, A Bajaj, RM Shah, AR Chen… - Clinical spine …, 2023 - journals.lww.com
Study Design: A retrospective cohort study from a multisite academic medical center.
Objective: To construct, evaluate, and interpret a series of machine learning models to …
Objective: To construct, evaluate, and interpret a series of machine learning models to …
Machine learning models on a web application to predict short-term postoperative outcomes following anterior cervical discectomy and fusion
Background The frequency of anterior cervical discectomy and fusion (ACDF) has increased
up to 400% since 2011, underscoring the need to preoperatively anticipate adverse …
up to 400% since 2011, underscoring the need to preoperatively anticipate adverse …
Deep Learning Prediction of Cervical Spine Surgery Revision Outcomes Using Standard Laboratory and Operative Variables
E Schonfeld, A Shah, TM Johnstone, A Rodrigues… - World Neurosurgery, 2024 - Elsevier
Background Cervical spine procedures represent a major proportion of all spine surgery.
Mitigating the revision rate following cervical procedures requires careful patient selection …
Mitigating the revision rate following cervical procedures requires careful patient selection …
Evaluating Computer Vision, Large Language, and Genome-Wide Association Models in a Limited Sized Patient Cohort for Pre-Operative Risk Stratification in Adult …
Background: Adult spinal deformities (ASD) are varied spinal abnormalities, often
necessitating surgical intervention when associated with pain, worsening deformity, or …
necessitating surgical intervention when associated with pain, worsening deformity, or …
[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 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 …