AIMC Topic: Spinal Cord Injuries
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Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome.
Scientific reports
Jun 6, 2025
Incomplete tetraplegia, incomplete paraplegia, and cauda equina syndrome are major neurological disorders that significantly reduce patients' quality of life, primarily due to impaired motor function and gait instability. Although conventional neurol...
Identification of disulfidptosis-related genes and subgroups in spinal cord injury.
Spinal cord
May 4, 2025
STUDY DESIGN: Bioinformatics analysis and experimental validation study.
Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review.
Biomedical engineering online
Apr 30, 2025
BACKGROUND: There is a growing interest in exploring industrial-grade collaborative robots (cobots) for rehabilitation. This review explores their application for motor rehabilitation of the upper and lower extremities after a stroke and spinal cord ...
Neurorehabilitation in spinal cord injury: Increased cortical activity through tDCS and robotic gait training.
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
Mar 24, 2025
OBJECTIVE: This study investigates the neurophysiological outcomes of combining robot-assisted gait training (RAGT) with active transcranial direct current stimulation (tDCS) on individuals with spinal cord injury (SCI).
Establishment and validation of a ResNet-based radiomics model for predicting prognosis in cervical spinal cord injury patients.
Scientific reports
Mar 17, 2025
Cervical spinal cord injury (cSCI) poses a significant challenge due to the unpredictable nature of recovery, which ranges from mild paralysis to severe long-term disability. Accurate prognostic models are crucial for guiding treatment and rehabilita...
Augmenting rehabilitation robotics with spinal cord neuromodulation: A proof of concept.
Science robotics
Mar 12, 2025
Rehabilitation robotics aims to promote activity-dependent reorganization of the nervous system. However, people with paralysis cannot generate sufficient activity during robot-assisted rehabilitation and, consequently, do not benefit from these ther...
Multicenter study on predicting postoperative upper limb muscle strength improvement in cervical spinal cord injury patients using radiomics and deep learning.
Scientific reports
Feb 17, 2025
Cervical spinal cord injury is often catastrophic, frequently leading to irreversible impairment. MRI has become the gold standard for evaluating spinal cord injuries (SCI). Our study aimed to assess the accuracy of a radiomics approach, based on mac...
Utilization of machine learning algorithm in the prediction of rehospitalization during one-year post traumatic spinal cord injury.
Spinal cord
Feb 15, 2025
STUDY DESIGN: Retrospective cohort study.
Analysis and validation of programmed cell death genes associated with spinal cord injury progression based on bioinformatics and machine learning.
International immunopharmacology
Feb 9, 2025
BACKGROUND: Spinal cord injury (SCI) is a severe condition affecting the central nervous system. It is marked by a high disability rate and potential for death. Research has demonstrated that programmed cell death (PCD) plays a significant role in th...
Machine learning based finite element analysis for personalized prediction of pressure injury risk in patients with spinal cord injury.
Computer methods and programs in biomedicine
Feb 7, 2025
BACKGROUND AND OBJECTIVE: Patients with spinal cord injury (SCI), are prone to pressure injury (PI) in the soft tissues of buttocks. Early prediction of PI holds the potential to reduce the occurrence and progression of PI. This study proposes a mach...
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