Use of random forest machine learning algorithm to predict short term outcomes following posterior cervical decompression with instrumented fusion

A Cabrera, A Bouterse, M Nelson, J Razzouk… - Journal of Clinical …, 2023 - Elsevier
Random Forest (RF) is a widely used machine learning algorithm that can be utilized for
identification of patient characteristics important for outcome prediction. Posterior cervical …

Anatomic assessment of L1-S1 neuroforaminal dimensions using computed tomography

…, J Razzouk, W Lindsey, B Urbina, A Cabrera… - JBJS, 2023 - journals.lww.com
Background: Although the radiographic parameters for diagnosing central lumbar canal
stenosis are well described, parameters for the diagnosis of neuroforaminal stenosis (NFS) are …

Correlations among Cervical, Thoracic, and lumbar Hounsfield Unit measurements for assessment of bone mineral density

…, O Ramos, J Scolieri, A Bouterse, A Cabrera… - Journal of Clinical …, 2024 - Elsevier
Objective Bone mineral density assessment using Hounsfield Unit (HU) currently depends
upon the availability of computed tomography (CT) of the lumbar spine. The primary aim of …

Accounting for age in prediction of discharge destination following elective lumbar fusion: a supervised machine learning approach

A Cabrera, A Bouterse, M Nelson, J Razzouk… - The Spine Journal, 2023 - Elsevier
BACKGROUND CONTEXT The number of elective spinal fusion procedures performed each
year continues to grow, making risk factors for post-operative complications following this …

Gaps in care following first time seizure in an underserved region: A retrospective analysis

C Jenkins, A Cabrera, DM Goldenholz, T Losey… - Seizure, 2023 - Elsevier
Purpose This study investigated the characteristics of patients presenting with the first-time
seizure (FTS) and whether neurology follow-up occurred in a medically underserved area. …

[HTML][HTML] Application of machine learning algorithms to predict 30-day hospital readmission following cement augmentation for osteoporotic vertebral compression …

A Cabrera, A Bouterse, M Nelson, L Thomas… - World Neurosurgery …, 2024 - Elsevier
Objective Osteoporosis is a common skeletal disease that greatly increases the risk of
pathologic fractures and accounts for approximately 700,000 vertebral compression fractures (…

[PDF][PDF] Applications of Interpedicular Distance and Anteroposterior Diameter in the Approximation of the Spinal Canal Area

…, K Nguyen, M Oliinik, P Carlson, AJ Cabrera… - Cureus, 2023 - cureus.com
Introduction: Advancements within the field of medicine revolve around increasing the
efficiency of diagnosing and subsequently treating patients. One such advancement is …

Leveraging Artificial Intelligence to Optimize the Care of Peripheral Artery Disease Patients

JH Song, RT Tomihama, D Roh, A Cabrera… - Annals of Vascular …, 2024 - Elsevier
Peripheral artery disease is a major atherosclerotic disease that is associated with poor
outcomes such as limb loss, cardiovascular morbidity, and death. Artificial intelligence has seen …

Prediction of In-Hospital Mortality Following Vertebral Fracture Fixation in Patients With Ankylosing Spondylitis or Diffuse Idiopathic Skeletal Hyperostosis: Machine …

A Cabrera, A Bouterse, M Nelson, C Dietrich… - International Journal of …, 2024 - ijssurgery.com
Background Ankylosing spondylitis (AS) and diffuse idiopathic skeletal hyperostosis (DISH)
are distinct pathological entities that similarly increase the risk of vertebral fractures. Such …

[PDF][PDF] Association Between Vertebral Bone Quality Score and Dual-Energy X-ray Absorptiometry for the Assessment of Bone Mineral Density in Adolescent Patients

M Patel, J Razzouk, D Shin, AJ Cabrera, K Nguyen… - Cureus, 2024 - cureus.com
Background: The MRI-based vertebral bone quality (VBQ) score is an assessment tool for
bone mineral density (BMD) that has been validated in adults against the clinical standard of …