AIMC Topic: Neural Networks, Computer

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Non-proliferative diabetic retinopathy detection using Rosmarus Quagga optimized explainable generative meta learning based deep convolutional neural network model.

International ophthalmology May 8, 2025
PURPOSE: Non-Proliferative Diabetic Retinopathy (NPDR) is a complication of diabetes disease where there is damage of the blood vessels in retina but with no signs of formation of new vessels. It is present in the earlier stages and therefore the con...
Humans Diabetic Retinopathy Retina Neural Networks, Computer Deep Learning Convolutional Neural Networks
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Deep learning-based evaluation of the severity of mitral regurgitation in canine myxomatous mitral valve disease patients using digital stethoscope recordings.

BMC veterinary research May 8, 2025
BACKGROUND: Myxomatous mitral valve disease (MMVD) represents the most prevalent cardiac disorder in dogs, frequently resulting in mitral regurgitation (MR) and congestive heart failure. Although echocardiography is the gold standard for diagnosis, i...
Stethoscopes Phonocardiography Animals Male Severity of Illness Index Dog Diseases Mitral Valve Insufficiency Neural Networks, Computer Deep Learning Female Dogs
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Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.

Biomolecules & biomedicine May 8, 2025
Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In rec...
Deep Learning Child, Preschool Child Image Processing, Computer-Assisted Humeral Fractures Neural Networks, Computer Female Male Humans
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Enhancing clinical decision-making in closed pelvic fractures with machine learning models.

Biomolecules & biomedicine May 8, 2025
Closed pelvic fractures can lead to severe complications, including hemodynamic instability (HI) and mortality. Accurate prediction of these risks is crucial for effective clinical management. This study aimed to utilize various machine learning (ML)...
Retrospective Studies Clinical Decision-Making Female Neural Networks, Computer Machine Learning Algorithms Male Middle Aged Hemodynamics Risk Factors Aged Adult Humans Pelvic Bones Fractures, Bone Bayes Theorem
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Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

Journal of biomedical optics May 8, 2025
SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause ...
Humans Middle Aged Tomography, Optical Coherence Diabetic Retinopathy Deep Learning Image Interpretation, Computer-Assisted Capillaries Neural Networks, Computer Image Processing, Computer-Assisted Female Retinal Vessels Male
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Predicting Mesothelioma Using Artificial Intelligence: A Scoping Review of Common Models and Applications.

Technology in cancer research & treatment May 8, 2025
IntroductionMesothelioma is a type of lung cancer caused by asbestos exposure, and early diagnosis is crucial for improving survival chances. Artificial intelligence offers a potential solution for the timely diagnosis and staging of the disease. Thi...
Mesothelioma, Malignant Prognosis Humans Bayes Theorem Neural Networks, Computer Mesothelioma Artificial Intelligence
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Continuous Joint Kinematics Prediction Using GAT-LSTM Framework Based on Muscle Synergy and Sparse sEMG.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 8, 2025
sEMG signals hold significant potential for motion prediction, with promising applications in areas such as rehabilitation, sports training, and human-computer interaction. However, achieving robust prediction accuracy remains a critical challenge, a...
Male Muscle, Skeletal Signal Processing, Computer-Assisted Young Adult Adult Biomechanical Phenomena Movement Electromyography Electrodes Joints Algorithms Humans Female Neural Networks, Computer Reproducibility of Results
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Cortical-subcortical neural networks for motor learning and storing sequence memory.

Neural networks : the official journal of the International Neural Network Society May 7, 2025
Motor sequence learning relies on the synergistic collaboration of multiple brain regions. However, most existing models for motor sequence learning primarily focus on functional-level analyses of sequence memory mechanisms, providing limited neuroph...
Prefrontal Cortex Nerve Net Memory Models, Neurological Humans Thalamus Memory, Short-Term Neurons Neural Networks, Computer Cerebral Cortex Learning Neural Pathways
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Learning to solve combinatorial optimization problems with heterophily.

Neural networks : the official journal of the International Neural Network Society May 7, 2025
Graph Neural Networks (GNNs) are widely used to address combinatorial optimization problems. However, many popular GNNs struggle to generalize to heterophilic scenarios where adjacent nodes tend to be with different labels or dissimilar features, suc...
Humans Neural Networks, Computer Machine Learning Algorithms Cluster Analysis
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Unsupervised feature selection with evolutionary sparsity.

Neural networks : the official journal of the International Neural Network Society May 7, 2025
The ℓ-norm is playing an increasingly important role in unsupervised feature selection. However, existing algorithm for optimization problem with ℓ-norm constraint has two problems: First, they cannot automatically determine the sparsity, also known ...
Neural Networks, Computer Algorithms Unsupervised Machine Learning Biological Evolution Humans
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