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 …
The role of machine learning in spine surgery: the future is now
The recent influx of machine learning centered investigations in the spine surgery literature
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …
has led to increased enthusiasm as to the prospect of using artificial intelligence to create …
Artificial intelligence in orthopaedics: false hope or not? A narrative review along the line of Gartner's hype cycle
JHF Oosterhoff, JN Doornberg - EFORT open reviews, 2020 - eor.bioscientifica.com
Artificial Intelligence (AI) in general, and Machine Learning (ML)-based applications in
particular, have the potential to change the scope of healthcare, including orthopaedic …
particular, have the potential to change the scope of healthcare, including orthopaedic …
Artificial intelligence in neurosurgery: A state-of-the-art review from past to future
In recent years, there has been a significant surge in discussions surrounding artificial
intelligence (AI), along with a corresponding increase in its practical applications in various …
intelligence (AI), along with a corresponding increase in its practical applications in various …
Artificial intelligence and robotics in spine surgery
Study Design: Narrative review. Objectives: Artificial intelligence (AI) and machine learning
(ML) have emerged as disruptive technologies with the potential to drastically affect clinical …
(ML) have emerged as disruptive technologies with the potential to drastically affect clinical …
Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review
Background and purpose—External validation of machine learning (ML) prediction models
is an essential step before clinical application. We assessed the proportion, performance …
is an essential step before clinical application. We assessed the proportion, performance …
[HTML][HTML] A review on the use of artificial intelligence in spinal diseases
Artificial neural networks (ANNs) have been used in a wide variety of real-world applications
and it emerges as a promising field across various branches of medicine. This review aims …
and it emerges as a promising field across various branches of medicine. This review aims …
[HTML][HTML] Applications of machine learning using electronic medical records in spine surgery
Developments in machine learning in recent years have precipitated a surge in research on
the applications of artificial intelligence within medicine. Machine learning algorithms are …
the applications of artificial intelligence within medicine. Machine learning algorithms are …
Prediction models in degenerative spine surgery: a systematic review
Study Design: Systematic review. Objectives: To review the existing literature of prediction
models in degenerative spinal surgery. Methods: Review of PubMed/Medline and Embase …
models in degenerative spinal surgery. Methods: Review of PubMed/Medline and Embase …
Assessment of frailty indices and Charlson Comorbidity Index for predicting adverse outcomes in patients undergoing surgery for spine metastases: a national …
Objective The aim of this study was to assess the predictive ability of Metastatic Spinal
Tumor Frailty Index (MSTFI) and the Modified 5-Item Frailty Index (mFI-5) on adverse …
Tumor Frailty Index (MSTFI) and the Modified 5-Item Frailty Index (mFI-5) on adverse …