[HTML][HTML] Artificial intelligence-driven prediction modeling and decision making in spine surgery using hybrid machine learning models

B Saravi, F Hassel, S Ülkümen, A Zink… - Journal of Personalized …, 2022 - mdpi.com
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 …

[HTML][HTML] Revolutionizing spinal care: Current applications and future directions of artificial intelligence and machine learning

M Yagi, K Yamanouchi, N Fujita, H Funao… - Journal of Clinical …, 2023 - mdpi.com
Artificial intelligence (AI) and machine learning (ML) are rapidly becoming integral
components of modern healthcare, offering new avenues for diagnosis, treatment, and …

[HTML][HTML] Novel magnetic resonance imaging tools for the diagnosis of degenerative disc disease: a narrative review

CA Mallio, G Vadalà, F Russo, C Bernetti, L Ambrosio… - Diagnostics, 2022 - mdpi.com
Low back pain (LBP) is one of the leading causes of disability worldwide, with a significant
socioeconomic burden on healthcare systems. It is mainly caused by degenerative disc …

Deep learning for outcome prediction in neurosurgery: a systematic review of design, reporting, and reproducibility

J Huang, NA Shlobin, M DeCuypere, SK Lam - Neurosurgery, 2022 - journals.lww.com
Deep learning (DL) is a powerful machine learning technique that has increasingly been
used to predict surgical outcomes. However, the large quantity of data required and lack of …

Machine learning applications of surgical imaging for the diagnosis and treatment of spine disorders: current state of the art

P Karandikar, E Massaad, M Hadzipasic… - …, 2022 - journals.lww.com
Recent developments in machine learning (ML) methods demonstrate unparalleled
potential for application in the spine. The ability for ML to provide diagnostic faculty, produce …

Predicting the anterior slippage of vertebral lumbar spine using Densenet-201

MR Khare, RH Havaldar - Biomedical Signal Processing and Control, 2023 - Elsevier
Lumbar spine illnesses have become more widespread in recent years due to sedentary
lifestyles, accidents, and lifestyle changes. Spondylolisthesis is the most common illness …

Preliminary data on artificial intelligence tool in magnetic resonance imaging assessment of degenerative pathologies of lumbar spine

V Granata, R Fusco, S Coluccino, C Russo, F Grassi… - La radiologia …, 2024 - Springer
Purpose To evaluate the ability of an artificial intelligence (AI) tool in magnetic resonance
imaging (MRI) assessment of degenerative pathologies of lumbar spine using radiologist …

Recent advances in the use of deep learning and artificial intelligence in the diagnosis and treatment of cervical and lumbar spine degenerative diseases

SHI Qiang-Hui, Z Zi-Fan, HU Bo… - Jie Fang Jun Yi Xue …, 2021 - search.proquest.com
Deep learning (DL), as a branch of artificial intelligence, is the mainstream artificial
intelligence recognition method for image, voice and language. In recent years, it has …

Deep Learning for Lumbar Spine MRI Reporting: A Welcome Tool for Radiologists

D Hayashi - Radiology, 2021 - pubs.rsna.org
Dr Daichi Hayashi is clinical associate professor of radiology at SUNY Stony Brook
University and the Musculoskeletal Radiology Fellowship Program director. His research …

[PDF][PDF] Novel Magnetic Resonance Imaging Tools for the Diagnosis of Degenerative Disc Disease: A Narrative Review. Diagnostics 2022, 12, 420

CA Mallio, G Vadalà, F Russo, C Bernetti, L Ambrosio… - 2022 - academia.edu
Low back pain (LBP) is one of the leading causes of disability worldwide, with a significant
socioeconomic burden on healthcare systems. It is mainly caused by degenerative disc …