The role of Artificial intelligence in the assessment of the spine and spinal cord

T Martín-Noguerol, MO Miranda, TJ Amrhein… - European Journal of …, 2023 - Elsevier
Artificial intelligence (AI) application development is underway in all areas of radiology
where many promising tools are focused on the spine and spinal cord. In the past decade …

[HTML][HTML] Deep learning approaches to automatic radiology report generation: A systematic review

Y Liao, H Liu, I Spasić - Informatics in Medicine Unlocked, 2023 - Elsevier
Background A radiology report communicates the imaging findings to the referring clinicians.
The rising number of referrals has created a bottleneck in healthcare. Writing a report takes …

[HTML][HTML] A deep learning model for detection of cervical spinal cord compression in MRI scans

Z Merali, JZ Wang, JH Badhiwala, CD Witiw… - Scientific reports, 2021 - nature.com
Abstract Magnetic Resonance Imaging (MRI) evidence of spinal cord compression plays a
central role in the diagnosis of degenerative cervical myelopathy (DCM). There is growing …

[HTML][HTML] A Proposed Personalized Spine Care Protocol (SpineScreen) to Treat Visualized Pain Generators: An Illustrative Study Comparing Clinical Outcomes and …

KU Lewandrowski, I Abraham… - Journal of Personalized …, 2022 - mdpi.com
Background: Endoscopically visualized spine surgery has become an essential tool that
aids in identifying and treating anatomical spine pathologies that are not well demonstrated …

Desenvolvimento de uma rede neuronal de convolução para reconhecimento de hérnias discais em imagens de ressonância magnética

SCC Soares - 2022 - repositorio.ipl.pt
Introdução: A hérnia discal lombar (HDL) é, atualmente, a causa mais frequente da
radiculopatia lombar nos adultos jovens. A IA é considerada “a tecnologia que define o …