Opportunities and challenges of machine learning models for prediction and diagnosis of spondylolisthesis: a systematic review

D Saravagi, S Agrawal… - International Journal of …, 2021 - inderscienceonline.com
Applications of machine learning algorithms in healthcare domain gained immense
popularity and attracted research communities in the last decade. Interdisciplinary …

Detection of lumbar spondylolisthesis from X-ray images using deep learning network

GM Trinh, HC Shao, KLC Hsieh, CY Lee… - Journal of Clinical …, 2022 - mdpi.com
Spondylolisthesis refers to the displacement of a vertebral body relative to the vertrabra
below it, which can cause radicular symptoms, back pain or leg pain. It usually occurs in the …

Developing nonlinear k-nearest neighbors classification algorithms to identify patients at high risk of increased length of hospital stay following spine surgery

S Shahrestani, AK Chan, EF Bisson, M Bydon… - Neurosurgical …, 2023 - thejns.org
OBJECTIVE Spondylolisthesis is a common operative disease in the United States, but
robust predictive models for patient outcomes remain limited. The development of models …

[PDF][PDF] Implementasi Algoritma Genetika pada k-nearest neighbours untuk Klasifikasi Kerusakan Tulang Belakang

RT Prasetio, AA Rismayadi… - Jurnal …, 2018 - download.garuda.kemdikbud.go.id
Kerusakan tulang belakang dialami oleh sekitar dua pertiga orang dewasa serta termasuk
ke dalam penyakit yang paling umum kedua setelah sakit kepala. Klasifikasi gangguan …

A comparison of classification methods in vertebral column disorder with the application of genetic algorithm and bagging

RT Prasetio, D Riana - 2015 4th international conference on …, 2015 - ieeexplore.ieee.org
Disorders of the spine are experienced by about two-thirds of adults and belong to the
second most common disease after headache. Prediction of spinal disorders is difficult …

[Retracted] Diagnosis of Lumbar Spondylolisthesis Using a Pruned CNN Model

D Saravagi, S Agrawal, M Saravagi… - … Methods in Medicine, 2022 - Wiley Online Library
Convolutional neural network (CNN) models have made tremendous progress in the
medical domain in recent years. The application of the CNN model is restricted due to a …

Role of machine learning in management of degenerative spondylolisthesis: a systematic review

S El-Daw, A El-Tantawy, T Aly… - Current Orthopaedic …, 2021 - journals.lww.com
Background: Machine learning is a field of artificial intelligence that allows a computer
system to learn through repetitive processes and improve with experience. Precise study of …

Pairwise FCM based feature weighting for improved classification of vertebral column disorders

Y Unal, K Polat, HE Kocer - Computers in biology and medicine, 2014 - Elsevier
In this paper, an innovative data pre-processing method to improve the classification
performance and to determine automatically the vertebral column disorders including disk …

Diagnosis of lumbar spondylolisthesis via convolutional neural networks

F Varçin, H Erbay, E Çetin, İ Çetin… - … Artificial Intelligence and …, 2019 - ieeexplore.ieee.org
Spondylolisthesis, due to bilateral defects of the posterior vertebral arch, refers to a slippage
of a vertebral body over another, usually with the superior vertebral body slipping anteriorly …

Prediction of Spinal Abnormalities in Neuroradiology Images Applying Deep Transfer Learning

AAA Interiano, MAM Palma… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The vertebral column is the structure that provides support, protection, and facilitates human
mobility. There are vertebral column deformities such as scoliosis and spondylolisthesis that …