AIMC Topic: Neural Networks, Computer

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Realistic fundus photograph generation for improving automated disease classification.

The British journal of ophthalmology Jun 23, 2025
AIMS: This study aims to investigate whether denoising diffusion probabilistic models (DDPMs) could generate realistic retinal images, and if they could be used to improve the performance of a deep convolutional neural network (CNN) ensemble for mult...
Humans Diabetic Retinopathy Fundus Oculi Macular Degeneration Retinal Diseases Photography Neural Networks, Computer Deep Learning ROC Curve
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The Rapid Online Cognitive Assessment for the Detection of Neurocognitive Disorder: Open-Label Study.

Journal of medical Internet research Jun 19, 2025
BACKGROUND: The rising prevalence of dementia necessitates a scalable solution to cognitive screening. Paper-based cognitive screening examinations are well-validated but minimally scalable. If a digital cognitive screening examination could replicat...
Adult Neuropsychological Tests Female Cognitive Dysfunction Neurocognitive Disorders Humans Male Aged Internet Neural Networks, Computer Middle Aged Aged, 80 and over
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Deep learning detects retropharyngeal edema on MRI in patients with acute neck infections.

European radiology experimental Jun 19, 2025
BACKGROUND: In acute neck infections, magnetic resonance imaging (MRI) shows retropharyngeal edema (RPE), which is a prognostic imaging biomarker for a severe course of illness. This study aimed to develop a deep learning-based algorithm for the auto...
Image Interpretation, Computer-Assisted Edema Pharyngeal Diseases Neck Magnetic Resonance Imaging Acute Disease Sensitivity and Specificity Male Middle Aged Deep Learning Adolescent Child Aged Young Adult Adult Humans Neural Networks, Computer Female
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Circular saw blade wear status prediction based on generative adversarial network and CNN-LSTM model.

PloS one Jun 18, 2025
Monitoring the status of circular saw blades is an effective measure to ensure the production efficiency and safety of spent fuel assembly cutting. However, the prediction of wear during the cutting of stainless steel shells of spent fuel assemblies ...
Neural Networks, Computer Generative Adversarial Networks Algorithms Models, Theoretical Stainless Steel
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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome.

PloS one Jun 18, 2025
As one of the most critical post-replication modifications, N6-methylation (6mA) at adenine residue plays an important role in a variety of biological functions. Existing computational methods for identifying 6mA sites across large genomic regions te...
Convolutional Neural Networks ROC Curve Computational Biology DNA Methylation Oryza Adenine Genome, Plant Neural Networks, Computer Deep Learning
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Soil moisture mapping in Indian tropical islands with C-band SAR and artificial neural network models.

Environmental monitoring and assessment Jun 17, 2025
This study aims at analyzing the patterns of soil moisture in the South Andaman district using an integrated approach that incorporates Sentinel-1A C-band synthetic aperture radar (SAR) data and other auxiliary data from Sentinel-2A and Landsat 8. A ...
Radar Islands India Tropical Climate Neural Networks, Computer Environmental Monitoring Soil Remote Sensing Technology Water
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Identifying and predicting EEG microstates with sequence-to-sequence deep learning models for online applications.

Journal of neural engineering Jun 17, 2025
Electroencephalographic (EEG) microstates, as a non-invasive and high-temporal-resolution tool for analyzing time-space features of brain activity, have been validated and applied in various research domains. However, current methods for EEG microsta...
Deep Learning Humans Online Systems Neural Networks, Computer Electroencephalography Brain
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Arrhythmia classification based on multi-input convolutional neural network with attention mechanism.

PloS one Jun 17, 2025
Arrhythmia is a prevalent cardiac disorder that can lead to severe complications such as stroke and cardiac arrest. While deep learning has advanced automated ECG analysis, challenges remain in accurately classifying arrhythmias due to signal variabi...
Electrocardiography Humans Signal Processing, Computer-Assisted Neural Networks, Computer Arrhythmias, Cardiac Databases, Factual Algorithms Deep Learning Convolutional Neural Networks
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Fast and accurate lung cancer subtype classication and localization based on Intraoperative frozen sections of lung adenocarcinoma.

Biomedical physics & engineering express Jun 16, 2025
Current lung cancer diagnostic techniques primarily focus on tissue subtype classification, yet remain inadequate in distinguishing pathological progression subtypes (particularly between adenocarcinomaand invasive adenocarcinoma) on frozen sections....
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Intraoperative Period Humans Neural Networks, Computer Algorithms Adenocarcinoma of Lung Frozen Sections
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Application Value of Deep Learning-Based AI Model in the Classification of Breast Nodules.

British journal of hospital medicine (London, England : 2005) Jun 15, 2025
Breast nodules are highly prevalent among women, and ultrasound is a widely used screening tool. However, single ultrasound examinations often result in high false-positive rates, leading to unnecessary biopsies. Artificial intelligence (AI) has dem...
Breast Deep Learning ROC Curve Ultrasonography, Mammary Neural Networks, Computer Female Artificial Intelligence Retrospective Studies Humans Aged Sensitivity and Specificity Adult Breast Neoplasms Middle Aged
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