AIMC Topic: Sclerosis

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Classification of Grades of Subchondral Sclerosis from Knee Radiographic Images Using Artificial Intelligence.

Sensors (Basel, Switzerland) Apr 17, 2025
Osteoarthritis (OA) is the most common joint disease, affecting over 300 million people worldwide. Subchondral sclerosis is a key indicator of OA. Currently, the diagnosis of subchondral sclerosis is primarily based on radiographic images; however, r...
Humans Neural Networks, Computer Artificial Intelligence Female Radiography Knee Joint Osteoarthritis, Knee Knee Sclerosis Aged Adult Male Middle Aged
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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Humans Prognosis Female Predictive Value of Tests Ventricular Dysfunction, Left Diastole Sclerosis Disease Progression Severity of Illness Index Deep Learning Time Factors United States Calcinosis Aortic Valve Stenosis Aortic Valve Ventricular Function, Left Echocardiography Middle Aged Risk Assessment Reproducibility of Results Risk Factors Aged Male
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Interpretable deep learning-based hippocampal sclerosis classification.

Epilepsia open Oct 5, 2022
OBJECTIVE: To evaluate the performance of a deep learning model for hippocampal sclerosis classification on the clinical dataset and suggest plausible visual interpretation for the model prediction.
Humans Deep Learning Magnetic Resonance Imaging Sclerosis Neurodegenerative Diseases Hippocampus Neuroimaging Atrophy
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Identification of glomerulosclerosis using IBM Watson and shallow neural networks.

Journal of nephrology Jan 18, 2022
BACKGROUND: Advanced stages of different renal diseases feature glomerular sclerosis at a histological level which is observed by light microscopy on tissue samples obtained by performing a kidney biopsy. Computer-aided diagnosis (CAD) systems levera...
Sclerosis Male Kidney Kidney Diseases Kidney Glomerulus Humans Neural Networks, Computer Artificial Intelligence Female
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Deep learning-based diagnosis of temporal lobe epilepsy associated with hippocampal sclerosis: An MRI study.

Epilepsy research Nov 21, 2021
PURPOSE: The currently available indicators-sensitivity and specificity of expert radiological evaluation of MRIs-to identify mesial temporal lobe epilepsy (MTLE) associated with hippocampal sclerosis (HS) are deficient, as they cannot be easily asse...
Hippocampus Epilepsy, Temporal Lobe Atrophy Sclerosis Humans Deep Learning Magnetic Resonance Imaging
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MRI-Based Machine Learning Prediction Framework to Lateralize Hippocampal Sclerosis in Patients With Temporal Lobe Epilepsy.

Neurology Sep 2, 2021
BACKGROUND AND OBJECTIVES: MRI fails to reveal hippocampal pathology in 30% to 50% of temporal lobe epilepsy (TLE) surgical candidates. To address this clinical challenge, we developed an automated MRI-based classifier that lateralizes the side of co...
Sclerosis Hippocampus Neuroimaging Female Epilepsy, Temporal Lobe Functional Laterality Young Adult Humans Adult Middle Aged Machine Learning Male Adolescent Magnetic Resonance Imaging Image Interpretation, Computer-Assisted
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Automated detection of hippocampal sclerosis using clinically empirical and radiomics features.

Epilepsia Nov 25, 2019
OBJECTIVE: Temporal lobe epilepsy is a common form of epilepsy that might be amenable to surgery. However, magnetic resonance imaging (MRI)-negative hippocampal sclerosis (HS) can hamper early diagnosis and surgical intervention for patients in clini...
Empirical Research Sclerosis Humans Machine Learning Adolescent Retrospective Studies Female Cohort Studies Young Adult Hippocampus Adult Drug Resistant Epilepsy Male
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Machine learning for differentiating metastatic and completely responded sclerotic bone lesion in prostate cancer: a retrospective radiomics study.

The British journal of radiology Jul 10, 2019
OBJECTIVE: Using CT texture analysis and machine learning methods, this study aims to distinguish the lesions imaged via 68Ga-prostate-specific membrane antigen (PSMA) positron emission tomography (PET)/CT as metastatic and completely responded in pa...
Male Bone Neoplasms Sclerosis Diagnosis, Differential Prostatic Neoplasms Humans Positron Emission Tomography Computed Tomography Antigens, Surface Machine Learning Gallium Radioisotopes Retrospective Studies Glutamate Carboxypeptidase II Aged
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Machine learning classification of mesial temporal sclerosis in epilepsy patients.

Epilepsy research Sep 9, 2015
BACKGROUND AND PURPOSE: Novel approaches applying machine-learning methods to neuroimaging data seek to develop individualized measures that will aid in the diagnosis and treatment of brain-based disorders such as temporal lobe epilepsy (TLE). Using ...
Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Young Adult Hippocampus Humans Organ Size Adult Epilepsy, Temporal Lobe Machine Learning Male Temporal Lobe Algorithms Middle Aged Sclerosis Female
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Voxel-based morphometry analysis and machine learning based classification in pediatric mesial temporal lobe epilepsy with hippocampal sclerosis.

Brain imaging and behavior Oct 1, 2020
Mesial temporal lobe epilepsy with hippocampal sclerosis (MTLE-HS) is a common type of pediatric epilepsy. We sought to evaluate whether the combination of voxel-based morphometry (VBM) and support vector machine (SVM), a machine learning method, was...
Humans Machine Learning Female Male Adolescent Child, Preschool Epilepsy, Temporal Lobe Child Sclerosis Magnetic Resonance Imaging Hippocampus Gray Matter
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