AIMC Topic: Neurologists

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Assistance from Automated ASPECTS Software Improves Reader Performance.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 11, 2021
PURPOSE: To compare physicians' ability to read Alberta Stroke Program Early CT Score (ASPECTS) in patients with a large vessel occlusion within 6 hours of symptom onset when assisted by a machine learning-based automatic software tool, compared with...
Software Prognosis Machine Learning Reproducibility of Results Aged Female Tomography, X-Ray Computed Humans Magnetic Resonance Imaging Ischemic Stroke Radiographic Image Interpretation, Computer-Assisted Predictive Value of Tests Carotid Artery, Internal Observer Variation Middle Cerebral Artery Neurologists Radiologists Middle Aged Automation Male Clinical Competence
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Evaluation of artificial intelligence systems for assisting neurologists with fast and accurate annotations of scalp electroencephalography data.

EBioMedicine Mar 18, 2021
BACKGROUND: Assistive automatic seizure detection can empower human annotators to shorten patient monitoring data review times. We present a proof-of-concept for a seizure detection system that is sensitive, automated, patient-specific, and tunable t...
Seizures Neurologists Electroencephalography Epilepsy Deep Learning Algorithms Data Analysis Reproducibility of Results Brain Artificial Intelligence Humans
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Deep Learning-Assisted Diagnosis of Cerebral Aneurysms Using the HeadXNet Model.

JAMA network open Jun 5, 2019
IMPORTANCE: Deep learning has the potential to augment clinician performance in medical imaging interpretation and reduce time to diagnosis through automated segmentation. Few studies to date have explored this topic.
Cross-Over Studies Neurologic Examination Intracranial Aneurysm Humans Deep Learning Male Computer Simulation Neurologists Middle Aged Clinical Competence Female Diagnosis, Computer-Assisted Retrospective Studies
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Machine learning in neurology: what neurologists can learn from machines and vice versa.

Journal of neurology Aug 2, 2018
Artificial intelligence is increasingly becoming a part of everyday life. This raises the question whether clinical neurology can benefit from these novel methods to increase diagnostic accuracy. Several recent studies have used machine learning clas...
Neurologists Diagnosis, Computer-Assisted Neurology Nervous System Diseases Machine Learning Humans Learning
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