The role of artificial intelligence in the management of trigeminal neuralgia
M Battistelli, A Izzo, M D'Ercole, QG D'Alessandris… - Frontiers in …, 2023 - frontiersin.org
Trigeminal neuralgia (TN) is the most frequent facial pain. It is difficult to treat
pharmacologically and a significant amount of patients can become drug-resistant requiring …
pharmacologically and a significant amount of patients can become drug-resistant requiring …
[HTML][HTML] Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research
Objective: The aim of this review is to identify gaps and provide a direction for future
research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management …
research in the utilization of Artificial Intelligence (AI) in chronic pain (CP) management …
Using Augmented Reality Technology to Optimize Transfacet Lumbar Interbody Fusion: A Case Report
A Bardeesi, TQ Tabarestani, SM Bergin… - Journal of Clinical …, 2024 - mdpi.com
The transfacet minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) is a
novel approach available for the management of lumbar spondylolisthesis. It avoids the …
novel approach available for the management of lumbar spondylolisthesis. It avoids the …
Volumetric segmentation in the context of posterior fossa-related pathologies: a systematic review
Background Segmentation tools continue to advance, evolving from manual contouring to
deep learning. Researchers have utilized segmentation to study a myriad of posterior fossa …
deep learning. Researchers have utilized segmentation to study a myriad of posterior fossa …
Deep learning-driven MRI trigeminal nerve segmentation with SEVB-net
C Zhang, M Li, Z Luo, R Xiao, B Li, J Shi… - Frontiers in …, 2023 - frontiersin.org
Purpose Trigeminal neuralgia (TN) poses significant challenges in its diagnosis and
treatment due to its extreme pain. Magnetic resonance imaging (MRI) plays a crucial role in …
treatment due to its extreme pain. Magnetic resonance imaging (MRI) plays a crucial role in …
Predicting long-term outcomes in patients with classical trigeminal neuralgia following microvascular decompression with an MRI-based radiomics nomogram: a …
S Li, H Chen, J Chen, X Yang, W Zhong, H Zhou… - European …, 2024 - Springer
Objectives This study aimed to develop a clinical-radiomics nomogram to predict the long-
term outcomes of patients with classical trigeminal neuralgia (CTN) following microvascular …
term outcomes of patients with classical trigeminal neuralgia (CTN) following microvascular …
Using Novel Segmentation Technology to Define Safe Corridors for Minimally Invasive Posterior Lumbar Interbody Fusion
TQ Tabarestani, DS Salven, DAW Sykes… - Operative …, 2022 - journals.lww.com
METHODS: The areas of the safe triangle, Kambin, and transfacet corridors were measured
using commercially available software (BrainLab, Munich, Germany). For each approach …
using commercially available software (BrainLab, Munich, Germany). For each approach …
Radiologically derived 3D virtual models for neurosurgical planning
HJ Cho, T Lloyd, A Zammit, AP Sadasivan… - Journal of Clinical …, 2024 - Elsevier
Three dimensional (3D) virtual models for neurosurgery have demonstrated substantial
clinical utility, especially for neuro-oncological cases. Computer-aided design (CAD) …
clinical utility, especially for neuro-oncological cases. Computer-aided design (CAD) …
Multimodal MRI segmentation of key structures for microvascular decompression via knowledge-driven mutual distillation and topological constraints
R Tu, D Zhang, C Li, L Xiao, Y Zhang, X Cai… - International Journal of …, 2024 - Springer
Purpose Microvascular decompression (MVD) is a widely used neurosurgical intervention
for the treatment of cranial nerves compression. Segmentation of MVD-related structures …
for the treatment of cranial nerves compression. Segmentation of MVD-related structures …