Critically reading machine learning literature in neurosurgery: a reader's guide and checklist for appraising prediction models
S Emani, A Swaminathan, B Grobman, JB Duvall… - Neurosurgical …, 2023 - thejns.org
OBJECTIVE Machine learning (ML) has become an increasingly popular tool for use in
neurosurgical research. The number of publications and interest in the field have recently …
neurosurgical research. The number of publications and interest in the field have recently …
Machine Learning and Deep Learning in Spinal Injury: A Narrative Review of Algorithms in Diagnosis and Prognosis
Spinal injuries, including cervical and thoracolumbar fractures, continue to be a major public
health concern. Recent advancements in machine learning and deep learning technologies …
health concern. Recent advancements in machine learning and deep learning technologies …
[HTML][HTML] Spinal cord epidural stimulation for motor and autonomic function recovery after chronic spinal cord injury: A case series and technical note
Background: Traumatic spinal cord injury (tSCI) is a debilitating condition, leading to chronic
morbidity and mortality. In recent peer-reviewed studies, spinal cord epidural stimulation …
morbidity and mortality. In recent peer-reviewed studies, spinal cord epidural stimulation …
Deep Learning-Based Prediction Model for Gait Recovery after a Spinal Cord Injury
HJ Yoo, KS Lee, B Koo, CW Yong, CW Kim - Diagnostics, 2024 - mdpi.com
Predicting gait recovery after a spinal cord injury (SCI) during an acute rehabilitation phase
is important for planning rehabilitation strategies. However, few studies have been …
is important for planning rehabilitation strategies. However, few studies have been …
Precision medicine for traumatic cervical spinal cord injuries: accessible and interpretable machine learning models to predict individualized in-hospital outcomes
M Karabacak, K Margetis - The Spine Journal, 2023 - Elsevier
Abstract BACKGROUND CONTEXT A traumatic spinal cord injury (SCI) can cause
temporary or permanent motor and sensory impairment, leading to serious short and long …
temporary or permanent motor and sensory impairment, leading to serious short and long …
Artificial intelligence in neurology: opportunities, challenges, and policy implications
S Voigtlaender, J Pawelczyk, M Geiger, EJ Vaios… - Journal of …, 2024 - Springer
Neurological conditions are the leading cause of disability and mortality combined,
demanding innovative, scalable, and sustainable solutions. Brain health has become a …
demanding innovative, scalable, and sustainable solutions. Brain health has become a …
Management of Cervical Spinal Cord Injury without Major Bone Injury in Adults
H Nakajima, K Honjoh, S Watanabe… - Journal of Clinical …, 2023 - mdpi.com
The incidence of cervical spinal cord injury (CSCI) without major bone injury is increasing,
possibly because older people typically have pre-existing cervical spinal canal stenosis. The …
possibly because older people typically have pre-existing cervical spinal canal stenosis. The …
Traumatic Brain Injury in the Long-COVID Era
DV Agoston - Neurotrauma Reports, 2024 - liebertpub.com
Major determinants of the biological background or reserve, such as age, biological sex,
comorbidities (diabetes, hypertension, obesity, etc.), and medications (eg, anticoagulants) …
comorbidities (diabetes, hypertension, obesity, etc.), and medications (eg, anticoagulants) …
Predicting the Outcome and Survival of Patients with Spinal Cord Injury using Machine Learning Algorithms; A Systematic Review
MA Habibi, SAN Alavi, AS Farsani, MMM Nasab… - World Neurosurgery, 2024 - Elsevier
Background Spinal cord injury (SCI) is a significant public health issue, leading to physical,
psychological, and social complications. Machine learning (ML) algorithms have shown …
psychological, and social complications. Machine learning (ML) algorithms have shown …
Developing and Evaluating Data Infrastructure and Implementation Tools to Support Cardiometabolic Disease Indicator Data Collection
M Amiri, S Kangatharan, L Brisbois… - Topics in Spinal …, 2023 - meridian.allenpress.com
Background Assessment of aerobic exercise (AE) and lipid profiles among individuals with
spinal cord injury or disease (SCI/D) is critical for cardiometabolic disease (CMD) risk …
spinal cord injury or disease (SCI/D) is critical for cardiometabolic disease (CMD) risk …