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 …
Revolutionizing spinal interventions: a systematic review of artificial intelligence technology applications in contemporary surgery
H Han, R Li, D Fu, H Zhou, Z Zhan, Y Wu, B Meng - BMC surgery, 2024 - Springer
Leveraging its ability to handle large and complex datasets, artificial intelligence can
uncover subtle patterns and correlations that human observation may overlook. This is …
uncover subtle patterns and correlations that human observation may overlook. This is …
Evaluation of deep learning-based automated detection of primary spine tumors on MRI using the turing test
Background Recently, the Turing test has been used to investigate whether machines have
intelligence similar to humans. Our study aimed to assess the ability of an artificial …
intelligence similar to humans. Our study aimed to assess the ability of an artificial …
Models to predict the surgical outcome of mini-ECIRS (endoscopic combined intrarenal surgery) for renal and/or ureteral stones
H Ito, K Sakamaki, T Fukuda, F Yamamichi… - Scientific Reports, 2023 - nature.com
To establish a safer and more efficient treatment strategy with mini-endoscopic combined
intrarenal surgery (ECIRS), the present study aimed to develop models to predict the …
intrarenal surgery (ECIRS), the present study aimed to develop models to predict the …
Multimodal Deep Learning-based Radiomics Approach for Predicting Surgical Outcomes in Patients with Cervical Ossification of the Posterior Longitudinal Ligament
S Maki, T Furuya, K Katsumi, H Nakajima, K Honjoh… - Spine, 2024 - journals.lww.com
Study Design. A retrospective analysis. Objective. This research sought to develop a
predictive model for surgical outcomes in patients with cervical ossification of the posterior …
predictive model for surgical outcomes in patients with cervical ossification of the posterior …
Efficacy of a machine learning-based approach in predicting neurological prognosis of cervical spinal cord injury patients following urgent surgery within 24 h after …
We aimed to develop a machine learning (ML) model for predicting the neurological
outcomes of cervical spinal cord injury (CSCI). We retrospectively analyzed 135 patients …
outcomes of cervical spinal cord injury (CSCI). We retrospectively analyzed 135 patients …
To infer the probability of cervical ossification of the posterior longitudinal ligament and explore its impact on cervical surgery
J Zhu, Q Lu, X Zhan, S Huang, C Zhou, S Wu… - Scientific Reports, 2023 - nature.com
The ossification of the posterior longitudinal ligament (OPLL) in the cervical spine is
commonly observed in degenerative changes of the cervical spine. Early detection of …
commonly observed in degenerative changes of the cervical spine. Early detection of …
Development of an artificial intelligence‐based diagnostic model for Alzheimer's disease
K Fujita, M Katsuki, A Takasu, A Kitajima… - Aging …, 2022 - Wiley Online Library
Abstract Introduction The diagnosis of Alzheimer's disease (AD) is sometimes difficult for
nonspecialists, resulting in misdiagnosis. A missed diagnosis can lead to improper …
nonspecialists, resulting in misdiagnosis. A missed diagnosis can lead to improper …
Comparison of Patients with and without Predicted Surgical Indication between clusters of adult spine deformity (ASD) Patients
A Baroncini, L Boissiere, D Larrieu, S Haddad… - Spine, 2024 - journals.lww.com
Study design. Multicentric, retrospective analysis of prospectively collected data. Objective.
To utilize machine-learning (ML) for clustering and management prediction (conservative vs …
To utilize machine-learning (ML) for clustering and management prediction (conservative vs …
Develo** predictive models for surgical outcomes in patients with degenerative cervical myelopathy: a comparison of statistical and machine learning approaches
J Song, J Li, R Zhao, X Chu - The Spine Journal, 2024 - Elsevier
Abstract BACKGROUND CONTEXT Machine learning (ML) is widely used to predict the
prognosis of numerous diseases. PURPOSE This retrospective analysis aimed to develop a …
prognosis of numerous diseases. PURPOSE This retrospective analysis aimed to develop a …