[HTML][HTML] Minimally invasive and conservative interventions for the treatment of sacroiliac joint pain: A review of recent literature

M Aranke, G McCrudy, K Rooney, K Patel… - Orthopedic …, 2022 - ncbi.nlm.nih.gov
Sacroiliac joint (SIJ) pain is responsible for approximately a third of reported back pain.
Patients with SIJ pain report some of the lowest quality of life scores of any chronic disease …

[HTML][HTML] Preoperative measures to prevent/minimize risk of surgical site infection in spinal surgery

NE Epstein - Surgical Neurology International, 2018 - ncbi.nlm.nih.gov
Background: Multiple measures prior to spine surgery may reduce the risks of postoperative
surgical site infections (SSIs). Methods: The incidence of SSI following spinal surgery …

[HTML][HTML] Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning

B Li, R Verma, D Beaton, H Tamim, MA Hussain… - Journal of Vascular …, 2023 - Elsevier
Objective Open surgical treatment options for aortoiliac occlusive disease carry significant
perioperative risks; however, outcome prediction tools remain limited. Using machine …

Predicting outcomes following endovascular abdominal aortic aneurysm repair using machine learning

B Li, R Verma, D Beaton, H Tamim, MA Hussain… - Annals of …, 2024 - journals.lww.com
Objective: To develop machine learning (ML) models that predict outcomes following
endovascular aneurysm repair (EVAR) for abdominal aortic aneurysm (AAA). Background …

Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting

B Li, N Eisenberg, D Beaton, DS Lee… - Journal of the …, 2024 - ahajournals.org
Background Transfemoral carotid artery stenting (TFCAS) carries important perioperative
risks. Outcome prediction tools may help guide clinical decision‐making but remain limited …

[HTML][HTML] Predicting inferior vena cava filter complications using machine learning

B Li, N Eisenberg, D Beaton, DS Lee… - Journal of Vascular …, 2024 - Elsevier
Objective Inferior vena cava (IVC) filter placement is associated with important long-term
complications. Predictive models for filter-related complications may help guide clinical …

Surgeons' risk perception in ASD surgery: The value of objective risk assessment on decision making and patient counselling

F Pellisé, A Vila-Casademunt, S Núñez-Pereira… - European Spine …, 2022 - Springer
Background Surgeons often rely on their intuition, experience and published data for
surgical decision making and informed consent. Literature provides average values that do …

Machine Learning to Predict Outcomes of Endovascular Intervention for Patients With PAD

B Li, BE Warren, N Eisenberg, D Beaton… - JAMA Network …, 2024 - jamanetwork.com
Importance Endovascular intervention for peripheral artery disease (PAD) carries
nonnegligible perioperative risks; however, outcome prediction tools are limited. Objective …

[HTML][HTML] Using machine learning to predict outcomes following open abdominal aortic aneurysm repair

B Li, B Aljabri, R Verma, D Beaton, N Eisenberg… - Journal of Vascular …, 2023 - Elsevier
Objective Prediction of outcomes following open abdominal aortic aneurysm (AAA) repair
remains challenging with a lack of widely used tools to guide perioperative management …

[HTML][HTML] Using machine learning to predict outcomes following carotid endarterectomy

B Li, D Beaton, N Eisenberg, DS Lee… - Journal of Vascular …, 2023 - Elsevier
Objective Prediction of outcomes following carotid endarterectomy (CEA) remains
challenging, with a lack of standardized tools to guide perioperative management. We used …