Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …
programs and algorithms to make devices intelligent and efficient for performing tasks that …
Machine learning applications to clinical decision support in neurosurgery: an artificial intelligence augmented systematic review
Abstract Machine learning (ML) involves algorithms learning patterns in large, complex
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …
datasets to predict and classify. Algorithms include neural networks (NN), logistic regression …
Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models
Healthcare systems worldwide generate vast amounts of data from many different sources.
Although of high complexity for a human being, it is essential to determine the patterns and …
Although of high complexity for a human being, it is essential to determine the patterns and …
[HTML][HTML] Anterior cervical spine surgery-associated complications in a retrospective case-control study
A Tasiou, T Giannis, AG Brotis, I Siasios… - Journal of Spine …, 2017 - ncbi.nlm.nih.gov
Anterior cervical spine procedures have been associated with satisfactory outcomes.
However, the occurrence of troublesome complications, although uncommon, needs to be …
However, the occurrence of troublesome complications, although uncommon, needs to be …
An analysis from the Quality Outcomes Database, Part 1. Disability, quality of life, and pain outcomes following lumbar spine surgery: predicting likely individual patient …
OBJECTIVE Quality and outcomes registry platforms lie at the center of many emerging
evidence-driven reform models. Specifically, clinical registry data are progressively …
evidence-driven reform models. Specifically, clinical registry data are progressively …
Risk factors for deep surgical site infection following thoracolumbar spinal surgery
OBJECTIVE Surgical site infection (SSI) following spine surgery causes major morbidity and
greatly impedes functional recovery. In the modern era of advanced operative techniques …
greatly impedes functional recovery. In the modern era of advanced operative techniques …
Risk factors for surgical site infection after posterior cervical spine surgery: an analysis of 5,441 patients from the ACS NSQIP 2005–2012
A Sebastian, P Huddleston III, S Kakar, E Habermann… - The Spine Journal, 2016 - Elsevier
Abstract Background Context The incidence of surgical site infection (SSI) following
posterior cervical surgery has been reported as high as 18% in the literature. Few large …
posterior cervical surgery has been reported as high as 18% in the literature. Few large …
Using a national surgical database to predict complications following posterior lumbar surgery and comparing the area under the curve and F1-score for the …
Z DeVries, E Locke, M Hoda, D Moravek, K Phan… - The spine journal, 2021 - Elsevier
BACKGROUND With spinal surgery rates increasing in North America, models that are able
to accurately predict which patients are at greater risk of developing complications are highly …
to accurately predict which patients are at greater risk of developing complications are highly …
[HTML][HTML] A review article on the benefits of early mobilization following spinal surgery and other medical/surgical procedures
NE Epstein - Surgical neurology international, 2014 - ncbi.nlm.nih.gov
Background: The impact of early mobilization on perioperative comorbidities and length of
stay (LOS) has shown benefits in other medical/surgical subspecialties. However, few spinal …
stay (LOS) has shown benefits in other medical/surgical subspecialties. However, few spinal …
Length of hospital stay after craniotomy for tumor: a National Surgical Quality Improvement Program analysis
OBJECT Although the length of hospital stay is often used as a measure of quality of care,
data evaluating the predictors of extended hospital stay after craniotomy for tumor are …
data evaluating the predictors of extended hospital stay after craniotomy for tumor are …