AIMC Topic: Cervical Vertebrae

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Prognosis of cervical myelopathy based on diffusion tensor imaging with artificial intelligence methods.

NMR in biomedicine May 27, 2019
Diffusion tensor imaging (DTI) has been proposed for the prognosis of cervical myelopathy (CM), but the manual analysis of DTI features is complicated and time consuming. This study evaluated the potential of artificial intelligence (AI) methods in t...
Humans Middle Aged Deep Learning Cervical Vertebrae Diffusion Tensor Imaging Spinal Cord Diseases Artificial Intelligence Prognosis Female Male
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Machine Learning for the Prediction of Cervical Spondylotic Myelopathy: A Post Hoc Pilot Study of 28 Participants.

World neurosurgery Mar 25, 2019
BACKGROUND: Cervical spondylotic myelopathy (CSM) severity and presence of symptoms are often difficult to predict based simply on clinical imaging alone. Similarly, improved machine learning techniques provide new tools with immense clinical potenti...
Spinal Cord Diseases Spondylosis Spinal Cord Compression Middle Aged Pilot Projects Humans Treatment Outcome Machine Learning Cervical Vertebrae Prognosis Female Aged Adult Male
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Prediction of cervical spine injury in young pediatric patients: an optimal trees artificial intelligence approach.

Journal of pediatric surgery Mar 18, 2019
BACKGROUND: Cervical spine injuries (CSI) are a major concern in young pediatric trauma patients. The consequences of missed injuries and difficulties in injury clearance for non-verbal patients have led to a tendency to image young children. Imaging...
Machine Learning Algorithms Retrospective Studies Female Humans Glasgow Coma Scale Sensitivity and Specificity Male Infant Child, Preschool Age Factors Registries Cervical Vertebrae Spinal Injuries
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Vision-aided brain-machine interface training system for robotic arm control and clinical application on two patients with cervical spinal cord injury.

Biomedical engineering online Feb 11, 2019
BACKGROUND: While spontaneous robotic arm control using motor imagery has been reported, most previous successful cases have used invasive approaches with advantages in spatial resolution. However, still many researchers continue to investigate metho...
Magnetic Resonance Imaging Robotics Cervical Vertebrae Arm Humans Software Brain-Computer Interfaces Spinal Cord Injuries Visual Perception
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Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion.

The spine journal : official journal of the North American Spine Society Jan 30, 2019
BACKGROUND CONTEXT: The severity of the opioid epidemic has increased scrutiny of opioid prescribing practices. Spine surgery is a high-risk episode for sustained postoperative opioid prescription.
Drug Prescriptions Diskectomy Adult Male Middle Aged Pain, Postoperative Cervical Vertebrae Spinal Fusion Analgesics, Opioid Practice Patterns, Physicians' Humans Machine Learning Female
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Clinical efficacy of upper limb robotic therapy in people with tetraplegia: a pilot randomized controlled trial.

Spinal cord Sep 11, 2018
STUDY DESIGN: A pilot randomized controlled trial.
Quadriplegia Cervical Vertebrae Male Spinal Cord Injuries Middle Aged Therapy, Computer-Assisted Pilot Projects Neurological Rehabilitation Treatment Outcome Humans Muscle Strength Female Robotics Hospitalization Occupational Therapy Single-Blind Method
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Fully automatic cervical vertebrae segmentation framework for X-ray images.

Computer methods and programs in biomedicine Jan 12, 2018
The cervical spine is a highly flexible anatomy and therefore vulnerable to injuries. Unfortunately, a large number of injuries in lateral cervical X-ray images remain undiagnosed due to human errors. Computer-aided injury detection has the potential...
Humans Neural Networks, Computer Algorithms Diagnostic Errors Automation Radiography Cervical Vertebrae Probability Image Interpretation, Computer-Assisted
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Risk factors for predicting increased surgical drain output in patients after anterior cervical corpectomy and fusion.

Journal of orthopaedic surgery and research Dec 28, 2017
BACKGROUND: Although measures to reduce and treat the postoperative surgical drain output are discussed, along with the increased interest in causative factors related to the prevention and treatment reported by many studies, these are still controve...
Postoperative Complications Cervical Vertebrae Humans Aged Spinal Fusion Cohort Studies Retrospective Studies Adult Drainage Diskectomy Female Male Predictive Value of Tests Risk Factors Middle Aged
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Finding discriminative and interpretable patterns in sequences of surgical activities.

Artificial intelligence in medicine Sep 22, 2017
OBJECTIVE: Surgery is one of the riskiest and most important medical acts that is performed today. Understanding the ways in which surgeries are similar or different from each other is of major interest to understand and analyze surgical behaviors. T...
Task Performance and Analysis Diskectomy Neurosurgeons Intervertebral Disc Cervical Vertebrae Video Recording Pattern Recognition, Automated Humans Practice Patterns, Physicians' Algorithms Clinical Competence Support Vector Machine
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Automatic matching of surgeries to predict surgeons' next actions.

Artificial intelligence in medicine Mar 24, 2017
OBJECTIVE: More than half a million surgeries are performed every day worldwide, which makes surgery one of the most important component of global health care. In this context, the objective of this paper is to introduce a new method for the predicti...
Middle Aged Time Factors Cervical Vertebrae Humans Lumbar Vertebrae Artificial Intelligence Automation Diskectomy Female Intervertebral Disc Displacement Patient Care Team Male Task Performance and Analysis Motor Activity Surgeons Motor Skills Operating Room Information Systems
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