AIMC Topic: Muscular Diseases

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Augmented Intelligence-Based Interference Pattern Analysis (AI-IPA) in Concentric Needle Electromyography.

Muscle & nerve Feb 12, 2025
INTRODUCTION/AIMS: To add objectivity to the routine needle electromyography examination, we describe an "Augmented Intelligence" based interference pattern (IP) analysis method that mimics the subjective assessment by quantifying IP fullness, discre...
Artificial Intelligence Algorithms Female Aged Humans Muscle, Skeletal Electromyography Needles Muscular Diseases Adult Male Middle Aged
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Rapid detection of poultry meat quality using S-band to KU-band radio-frequency waves combined with machine learning-A proof of concept.

Journal of food science Nov 26, 2024
Rapid changes in consumer preferences for high-quality animal-based protein have driven the poultry industry to identify non-invasive, in-line processing technologies for rapid detection of muscle meat quality defects. At production plants, technolog...
Muscular Diseases Radio Waves Machine Learning Animals Meat Food Handling Chickens Support Vector Machine
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Detection of Left Atrial Myopathy Using Artificial Intelligence-Enabled Electrocardiography.

Circulation. Heart failure Dec 16, 2021
BACKGROUND: Left atrial (LA) myopathy is common in patients with heart failure and preserved ejection fraction and leads to the development of atrial fibrillation (AF). We investigated whether the likelihood of LA remodeling, LA dysfunction, altered ...
Artificial Intelligence Female Aged Male Humans Muscular Diseases Atrial Fibrillation Heart Atria Cardiac Catheterization Middle Aged Electrocardiography Heart Failure
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Deep convolutional neural network-based algorithm for muscle biopsy diagnosis.

Laboratory investigation; a journal of technical methods and pathology Oct 2, 2021
Histopathologic evaluation of muscle biopsy samples is essential for classifying and diagnosing muscle diseases. However, the numbers of experienced specialists and pathologists are limited. Although new technologies such as artificial intelligence a...
Deep Learning Diagnosis, Differential Biopsy Myositis Reproducibility of Results Sensitivity and Specificity Animals Muscles Muscular Diseases Neural Networks, Computer Algorithms Humans
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A machine learning-based clinical tool for diagnosing myopathy using multi-cohort microarray expression profiles.

Journal of translational medicine Nov 30, 2020
BACKGROUND: Myopathies are a heterogenous collection of disorders characterized by dysfunction of skeletal muscle. In practice, myopathies are frequently encountered by physicians and precise diagnosis remains a challenge in primary care. Molecular e...
Support Vector Machine Genetic Markers Microarray Analysis Muscular Diseases Humans Machine Learning
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In vivo imaging of phosphocreatine with artificial neural networks.

Nature communications Feb 26, 2020
Phosphocreatine (PCr) plays a vital role in neuron and myocyte energy homeostasis. Currently, there are no routine diagnostic tests to noninvasively map PCr distribution with clinically relevant spatial resolution and scan time. Here, we demonstrate ...
Muscular Diseases Neural Networks, Computer Muscle, Skeletal Diagnostic Tests, Routine Magnetic Resonance Imaging Humans Phosphocreatine
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Using Deep Learning in Ultrasound Imaging of Bicipital Peritendinous Effusion to Grade Inflammation Severity.

IEEE journal of biomedical and health informatics Jan 22, 2020
Inflammation of the long head of the biceps tendon is a common cause of shoulder pain. Bicipital peritendinous effusion (BPE) is the most common biceps tendon abnormality and is related to various shoulder injuries. Physicians usually use ultrasound ...
Tendons Shoulder Joint Shoulder Pain Muscular Diseases Ultrasonography Humans Muscle, Skeletal Inflammation Neural Networks, Computer Image Interpretation, Computer-Assisted Deep Learning
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Automated CT-derived skeletal muscle mass determination in lower hind limbs of mice using a 3D U-Net deep learning network.

Journal of applied physiology (Bethesda, Md. : 1985) Nov 7, 2019
The loss of skeletal muscle mass is recognized as a complication of several chronic diseases and is associated with increased mortality and a decreased quality of life. Relevant and reliable animal models in which muscle wasting can be monitored noni...
Male Deep Learning Imaging, Three-Dimensional Muscle, Skeletal Muscular Diseases Mice Lower Extremity Tomography, X-Ray Computed Female Animals Algorithms
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Comparison of Bagging and Boosting Ensemble Machine Learning Methods for Automated EMG Signal Classification.

BioMed research international Oct 31, 2019
The neuromuscular disorders are diagnosed using electromyographic (EMG) signals. Machine learning algorithms are employed as a decision support system to diagnose neuromuscular disorders. This paper compares bagging and boosting ensemble learning met...
Electromyography Muscular Diseases Female Young Adult Adult Adolescent Sensitivity and Specificity Child Humans Male Muscle, Skeletal Machine Learning Middle Aged Signal Processing, Computer-Assisted Databases, Factual
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Classification of needle-EMG resting potentials by machine learning.

Muscle & nerve Dec 18, 2018
INTRODUCTION: The diagnostic importance of audio signal characteristics in needle electromyography (EMG) is well established. Given the recent advent of audio-sound identification by artificial intelligence, we hypothesized that the extraction of cha...
Electromyography Evoked Potentials, Motor Humans Male Linear Models Muscular Diseases Muscle, Skeletal Rest Signal Processing, Computer-Assisted Machine Learning Female Needles Fourier Analysis
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