AIMC Topic: Deep Learning

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Effectiveness of machine learning models in diagnosis of heart disease: a comparative study.

Scientific reports Jul 8, 2025
The precise diagnosis of heart disease represents a significant obstacle within the medical field, demanding the implementation of advanced diagnostic instruments and methodologies. This article conducts an extensive examination of the efficacy of di...
Diagnosis, Computer-Assisted Deep Learning Machine Learning Bayes Theorem Humans Algorithms Support Vector Machine Heart Diseases Neural Networks, Computer
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Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Scientific reports Jul 8, 2025
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, emphasizing the need for accurate and early diagnosis. Electrocardiograms (ECG) provide a non-invasive means of diagnosing various cardiac conditions. However, traditional m...
Cardiovascular Diseases Deep Learning Humans Autoencoder Algorithms Electrocardiography Signal Processing, Computer-Assisted
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A novel model for expanding horizons in sign Language recognition.

Scientific reports Jul 8, 2025
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the correspon...
Sign Language Deep Learning Humans Gestures Algorithms
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Structural health monitoring and evaluation method for an immersed tunnel based on deep learning.

Scientific reports Jul 8, 2025
The health monitoring of the subsea-immersed tunnels is essential for the early detection of anomalies and the assurance of their long-term operational safety. This research examines sensor data to evaluate variations in critical parameters and their...
Algorithms Deep Learning Humans
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An enhanced deep learning approach for speaker diarization using TitaNet, MarbelNet and time delay network.

Scientific reports Jul 8, 2025
Speaker diarization, identifying "who spoke when," plays a vital role in speech transcription, supervised fine-tuning of large language models, conversational AI, and audio content analysis by providing labeled speaker segments. Traditional speaker d...
Neural Networks, Computer Algorithms Humans Deep Learning Speech
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Integrating radiomic texture analysis and deep learning for automated myocardial infarction detection in cine-MRI.

Scientific reports Jul 8, 2025
Robust differentiation between infarcted and normal myocardial tissue is essential for improving diagnostic accuracy and personalizing treatment in myocardial infarction (MI). This study proposes a hybrid framework combining radiomic texture analysis...
Deep Learning Humans Radiomics Image Processing, Computer-Assisted Myocardial Infarction Male Image Interpretation, Computer-Assisted Magnetic Resonance Imaging, Cine
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Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50.

Scientific reports Jul 8, 2025
Accurate prediction of stroke risk at an early stage is essential for timely intervention and prevention, especially given the serious health consequences and economic burden that strokes can cause. In this study, we proposed a class-balanced and dat...
Deep Learning Stroke Risk Factors Risk Assessment Humans Algorithms
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Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders.

Scientific reports Jul 8, 2025
Early diagnostic assessments of neurodivergent disorders (NDD), remains a major clinical challenge. We address this problem by pursuing the hypothesis that there is important cognitive information about NDD conditions contained in the way individuals...
Biomechanical Phenomena Male Young Adult Adult Adolescent Child Attention Deficit Disorder with Hyperactivity Severity of Illness Index Deep Learning Autism Spectrum Disorder Female Humans
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Motor imagery EEG signal classification using novel deep learning algorithm.

Scientific reports Jul 8, 2025
Electroencephalography (EEG) signal classification plays a critical role in various biomedical and cognitive research applications, including neurological disorder detection and cognitive state monitoring. However, these technologies face challenges ...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Deep Learning Imagination Humans Electroencephalography Wavelet Analysis Algorithms
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Unveiling aging heterogeneities in human dermal fibroblasts via nanosensor chemical cytometry.

Nature communications Jul 8, 2025
Aging heterogeneity in tissue-regenerative cells leads to variable therapeutic outcomes, complicating quality control and clinical predictability. Conventional analytical methods relying on labeling or cell lysis are destructive and incompatible with...
Hydrogen Peroxide Single-Cell Analysis Fibroblasts Phenotype Humans Deep Learning Nanotechnology Nanotubes, Carbon Dermis Flow Cytometry Cellular Senescence
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