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 …
Artificial intelligence and machine learning in spine research
F Galbusera, G Casaroli, T Bassani - JOR spine, 2019 - Wiley Online Library
Artificial intelligence (AI) and machine learning (ML) techniques are revolutionizing several
industrial and research fields like computer vision, autonomous driving, natural language …
industrial and research fields like computer vision, autonomous driving, natural language …
Artificial intelligence in spine surgery
A Benzakour, P Altsitzioglou, JM Lemée… - International …, 2023 - Springer
The continuous progress of research and clinical trials has offered a wide variety of
information concerning the spine and the treatment of the different spinal pathologies that …
information concerning the spine and the treatment of the different spinal pathologies that …
Machine learning in neurosurgery: a global survey
Background Recent technological advances have led to the development and
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …
implementation of machine learning (ML) in various disciplines, including neurosurgery. Our …
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 …
Attitudes of patients and their relatives toward artificial intelligence in neurosurgery
Background Artificial intelligence (AI) may favorably support surgeons but can result in
concern among patients and their relatives. The aim of this study was to evaluate attitudes of …
concern among patients and their relatives. The aim of this study was to evaluate attitudes of …
Artificial intelligence in spinal imaging: current status and future directions
Y Cui, J Zhu, Z Duan, Z Liao, S Wang… - International journal of …, 2022 - mdpi.com
Spinal maladies are among the most common causes of pain and disability worldwide.
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …
Imaging represents an important diagnostic procedure in spinal care. Imaging investigations …
Can machine learning algorithms accurately predict discharge to nonhome facility and early unplanned readmissions following spinal fusion? Analysis of a national …
A Goyal, C Ngufor, P Kerezoudis… - … of Neurosurgery: Spine, 2019 - thejns.org
OBJECTIVE Nonhome discharge and unplanned readmissions represent important cost
drivers following spinal fusion. The authors sought to utilize different machine learning …
drivers following spinal fusion. The authors sought to utilize different machine learning …
Adult spinal deformity surgery and frailty: a systematic review
Study Design: Systematic review. Objectives: Adult spinal deformity (ASD) can be a
debilitating condition with a profound impact on patients' health-related quality of life …
debilitating condition with a profound impact on patients' health-related quality of life …
[HTML][HTML] Predicting mechanical complications after adult spinal deformity operation using a machine learning based on modified global alignment and proportion …
SH Noh, HS Lee, GE Park, Y Ha, JY Park, SU Kuh… - Neurospine, 2023 - ncbi.nlm.nih.gov
Objective This study aimed to create an ideal machine learning model to predict mechanical
complications in adult spinal deformity (ASD) surgery based on GAPB (modified global …
complications in adult spinal deformity (ASD) surgery based on GAPB (modified global …