AIMC Topic: Neurology

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Use of Artificial Intelligence in Clinical Neurology.

Seminars in neurology May 16, 2022
Artificial intelligence is already innovating in the provision of neurologic care. This review explores key artificial intelligence concepts; their application to neurologic diagnosis, prognosis, and treatment; and challenges that await their broader...
Neurology Artificial Intelligence Humans Prognosis
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Predicting Abnormal Amyloid Burden: Can Machine Learning Become a Future Tool in Preventive Neurology?

Neurology Apr 25, 2022
Forecasting Humans Amyloid Machine Learning Neurology
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Methods to Improve Molecular Diagnosis in Genomic Cold Cases in Pediatric Neurology.

Genes Feb 11, 2022
During the last decade, genetic testing has emerged as an important etiological diagnostic tool for Mendelian diseases, including pediatric neurological conditions. A genetic diagnosis has a considerable impact on disease management and treatment; ho...
Genome, Human Neurology Genomics Genetic Testing Humans Artificial Intelligence Child
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Guidelines for Conducting Ethical Artificial Intelligence Research in Neurology: A Systematic Approach for Clinicians and Researchers.

Neurology Jul 27, 2021
Preemptive recognition of the ethical implications of study design and algorithm choices in artificial intelligence (AI) research is an important but challenging process. AI applications have begun to transition from a promising future to clinical re...
Research Design Delivery of Health Care Research Personnel Humans Artificial Intelligence Neurology
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Potential and limitations of radiomics in neuro-oncology.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia Jun 11, 2021
Radiomics seeks to apply classical methods of image processing to obtain quantitative parameters from imaging. Derived features are subsequently fed into algorithmic models to aid clinical decision making. The application of radiomics and machine lea...
Medical Oncology Neurology Image Processing, Computer-Assisted Diagnostic Imaging Humans Machine Learning
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Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes Sep 18, 2020
There have been many recently published studies exploring machine learning (ML) and deep learning applications within neuroradiology. The improvement in performance of these techniques has resulted in an ever-increasing number of commercially availab...
Artificial Intelligence Tomography, X-Ray Computed Humans Neurology Neuroradiography Radiology Image Interpretation, Computer-Assisted Deep Learning Magnetic Resonance Imaging
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Artificial Intelligence in Neuroradiology: Current Status and Future Directions.

AJNR. American journal of neuroradiology Jul 30, 2020
Fueled by new techniques, computational tools, and broader availability of imaging data, artificial intelligence has the potential to transform the practice of neuroradiology. The recent exponential increase in publications related to artificial inte...
Radiology Neurology Humans Artificial Intelligence
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Radiomics in neuro-oncology: Basics, workflow, and applications.

Methods (San Diego, Calif.) Jun 6, 2020
Over the last years, the amount, variety, and complexity of neuroimaging data acquired in patients with brain tumors for routine clinical purposes and the resulting number of imaging parameters have substantially increased. Consequently, a timely and...
Treatment Outcome Workflow Models, Biological Medical Oncology Deep Learning Image Processing, Computer-Assisted Brain Neoplasms Risk Assessment Brain Prognosis Neuroimaging Biomarkers, Tumor Neurology Humans
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Deep learning: a turning point in acute neurology.

The Lancet. Digital health May 14, 2020
Brain Injuries, Traumatic Semantics Humans Tomography, X-Ray Computed Deep Learning Neurology
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Comparing Different Methods for Named Entity Recognition in Portuguese Neurology Text.

Journal of medical systems Feb 28, 2020
Electronic Medical Records (EMRs) are written in an unstructured way, often using natural language. Information Extraction (IE) may be used for acquiring knowledge from such texts, including the automatic recognition of meaningful entities, through m...
Periodicals as Topic Neurology Portugal Deep Learning Humans Natural Language Processing Language
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