AIMC Topic: Migraine Disorders
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Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.
NeuroImage. Clinical
Jul 28, 2023
The objective of this study is to evaluate the efficacy of deep learning (DL) techniques in improving the quality of diffusion MRI (dMRI) data in clinical applications. The study aims to determine whether the use of artificial intelligence (AI) metho...
Artificial Intelligence-Enabled Evaluation of Pain Sketches to Predict Outcomes in Headache Surgery.
Plastic and reconstructive surgery
Nov 15, 2022
BACKGROUND: Recent evidence has shown that patient drawings of pain can predict poor outcomes in headache surgery. Given that interpretation of pain drawings requires some clinical experience, the authors developed a machine learning framework capabl...
Development and validation of a novel model for characterizing migraine outcomes within real-world data.
The journal of headache and pain
Sep 21, 2022
BACKGROUND: In disease areas with 'soft' outcomes (i.e., the subjective aspects of a medical condition or its management) such as migraine or depression, extraction and validation of real-world evidence (RWE) from electronic health records (EHRs) and...
Cluster-Then-Classify Methodology for the Identification of Pain Episodes in Chronic Diseases.
IEEE journal of biomedical and health informatics
May 5, 2022
Chronic diseases benefit of the advances on personalize medicine coming out of the integrative convergence of significant developments in systems biology, the Internet of Things and Artificial Intelligence. 70% to 80% of all healthcare costs in the E...
Quantifying changes over 1 year in motor and cognitive skill after transient ischemic attack (TIA) using robotics.
Scientific reports
Aug 23, 2021
Recent work has highlighted that people who have had TIA may have abnormal motor and cognitive function. We aimed to quantify deficits in a cohort of individuals who had TIA and measured changes in their abilities to perform behavioural tasks over 1 ...
Subgrouping Factors Influencing Migraine Intensity in Women: A Semi-automatic Methodology Based on Machine Learning and Information Geometry.
Pain practice : the official journal of World Institute of Pain
Dec 2, 2019
BACKGROUND: Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling techniques.
Two-step deep neural network for segmentation of deep white matter hyperintensities in migraineurs.
Computer methods and programs in biomedicine
Sep 5, 2019
BACKGROUND AND OBJECTIVE: Patients with migraine show an increased presence of white matter hyperintensities (WMHs), especially deep WMHs. Segmentation of small, deep WMHs is a critical issue in managing migraine care. Here, we aim to develop a novel...
Intravenous Fluid for the Treatment of Emergency Department Patients With Migraine Headache: A Randomized Controlled Trial.
Annals of emergency medicine
Oct 26, 2018
STUDY OBJECTIVE: The objective of this pilot study is to assess the feasibility and necessity of performing a large-scale trial to measure the effect of intravenous fluid therapy on migraine headache pain.
Multimodal MRI-based classification of migraine: using deep learning convolutional neural network.
Biomedical engineering online
Oct 11, 2018
BACKGROUND: Recently, deep learning technologies have rapidly expanded into medical image analysis, including both disease detection and classification. As far as we know, migraine is a disabling and common neurological disorder, typically characteri...
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.
BMC medical informatics and decision making
Apr 13, 2017
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (...
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