AIMC Topic: Neurology

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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 Machine Learning Learning Nervous System Diseases Neurology Diagnosis, Computer-Assisted Humans
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Inferring Clinical Correlations from EEG Reports with Deep Neural Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Successful diagnosis and management of neurological dysfunction relies on proper communication between the neurologist and the primary physician (or other specialists). Because this communication is documented within medical records, the ability to a...
Models, Neurological Natural Language Processing Nervous System Diseases Neurology Electroencephalography Male Deep Learning Humans Female
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Deep Learning in Neuroradiology.

AJNR. American journal of neuroradiology Feb 1, 2018
Deep learning is a form of machine learning using a convolutional neural network architecture that shows tremendous promise for imaging applications. It is increasingly being adapted from its original demonstration in computer vision applications to ...
Humans Neuroimaging Deep Learning Neurology Radiology
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Machine-Learning Classifier for Patients with Major Depressive Disorder: Multifeature Approach Based on a High-Order Minimum Spanning Tree Functional Brain Network.

Computational and mathematical methods in medicine Dec 14, 2017
High-order functional connectivity networks are rich in time information that can reflect dynamic changes in functional connectivity between brain regions. Accordingly, such networks are widely used to classify brain diseases. However, traditional me...
Adolescent Female Support Vector Machine Neural Pathways Algorithms Magnetic Resonance Imaging Reproducibility of Results Brain Mapping Nerve Net Brain Middle Aged Adult False Positive Reactions Depressive Disorder, Major Neurology Humans Male Young Adult Machine Learning
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Improving the Accuracy and Training Speed of Motor Imagery Brain-Computer Interfaces Using Wavelet-Based Combined Feature Vectors and Gaussian Mixture Model-Supervectors.

Sensors (Basel, Switzerland) Oct 7, 2017
In this paper, we propose a set of wavelet-based combined feature vectors and a Gaussian mixture model (GMM)-supervector to enhance training speed and classification accuracy in motor imagery brain-computer interfaces. The proposed method is configur...
Support Vector Machine Electroencephalography Models, Biological Humans Algorithms Neurology Normal Distribution Brain-Computer Interfaces Wavelet Analysis
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Neurodegenerative disease: MRI biomarkers - a precision medicine tool in neurology?

Nature reviews. Neurology Apr 15, 2016
Two new studies highlight the potential of neuroimaging to aid the differential diagnosis of neurodegenerative disease, for both clinical practice and emerging trials. Although this approach holds great promise, meaningful implementation of neuroimag...
Biomarkers Precision Medicine Neurodegenerative Diseases Neurology Magnetic Resonance Imaging Humans Machine Learning
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Artificial Intelligence in Vascular Neurology: Applications, Challenges, and a Review of AI Tools for Stroke Imaging, Clinical Decision Making, and Outcome Prediction Models.

Current neurology and neuroscience reports May 9, 2025
PURPOSE OF REVIEW: Artificial intelligence (AI) promises to compress stroke treatment timelines, yet its clinical return on investment remains uncertain. We interrogate state‑of‑the‑art AI platforms across imaging, workflow orchestration, and outcome...
Neuroimaging Neurology Clinical Decision-Making Stroke Humans Artificial Intelligence
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Is artificial intelligence successful in the Turkish neurology board exam?

Neurological research May 1, 2025
OBJECTIVES: OpenAI declared that GPT-4 performed better in academic and certain specialty areas. Medical licensing exams assess the clinical competence of doctors. We aimed to investigate for the first time howChatGPT will perform in the Turkish Neur...
Artificial Intelligence Clinical Competence Humans Neurology Educational Measurement Turkey
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Clinical Applications of Artificial Intelligence in Neurology Practice.

Continuum (Minneapolis, Minn.) Apr 1, 2025
As artificial intelligence (AI) tools become increasingly mainstream, they can potentially transform neurology clinical practice by improving patient care and reducing clinician workload. However, with these promises also come perils, and neurologist...
Humans Artificial Intelligence Neurology
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Current applications and future perspectives of artificial intelligence in functional urology and neurourology: how far can we get?

Minerva urology and nephrology Feb 1, 2025
In the last few years, the scientific community has seen an increasing interest towards the potential applications of artificial intelligence in medicine and healthcare. In this context, urology represents an area of rapid development, particularly i...
Artificial Intelligence Forecasting Urology Humans Neurology Urologic Diseases
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