AIMC Topic: Deep Learning

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Alzheimer's Disease detection and classification using optimized neural network.

Computers in biology and medicine Feb 11, 2025
Alzheimer's disease (AD) is a degenerative neurological condition characterized by a progressive decline in cognitive abilities, resulting in memory impairment and limitations in performing daily tasks. Timely and precise identification of AD holds p...
Female Male Deep Learning Neural Networks, Computer Algorithms Brain Magnetic Resonance Imaging Alzheimer Disease Humans
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Multi-modality medical image classification with ResoMergeNet for cataract, lung cancer, and breast cancer diagnosis.

Computers in biology and medicine Feb 11, 2025
The variability in image modalities presents significant challenges in medical image classification, as traditional deep learning models often struggle to adapt to different image types, leading to suboptimal performance across diverse datasets. This...
Female Breast Neoplasms Deep Learning Humans Cataract Image Interpretation, Computer-Assisted Lung Neoplasms Multimodal Imaging
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Does Deep Learning Reconstruction Improve Ureteral Stone Detection and Subjective Image Quality in the CT Images of Patients with Metal Hardware?

Journal of endourology Feb 11, 2025
Diagnosing ureteral stones with low-dose CT in patients with metal hardware can be challenging because of image noise. The purpose of this study was to compare ureteral stone detection and image quality of low-dose and conventional CT scans with and...
Humans Tomography, X-Ray Computed Deep Learning Radiation Dosage Hip Prosthesis Metals Image Processing, Computer-Assisted Artifacts Ureteral Calculi
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A deep learning-enabled smart garment for accurate and versatile monitoring of sleep conditions in daily life.

Proceedings of the National Academy of Sciences of the United States of America Feb 11, 2025
In wearable smart systems, continuous monitoring and accurate classification of different sleep-related conditions are critical for enhancing sleep quality and preventing sleep-related chronic conditions. However, the requirements for device-skin cou...
Sleep Clothing Textiles Female Adult Male Humans Deep Learning Wearable Electronic Devices Monitoring, Physiologic
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Classifying and fact-checking health-related information about COVID-19 on Twitter/X using machine learning and deep learning models.

BMC medical informatics and decision making Feb 11, 2025
BACKGROUND: Despite recent progress in misinformation detection methods, further investigation is required to develop more robust fact-checking models with particular consideration for the unique challenges of health information sharing. This study a...
Information Dissemination COVID-19 Deep Learning Social Media Humans Machine Learning
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A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.

BMC medical informatics and decision making Feb 11, 2025
This study proposes a deep learning-based motion assessment method that integrates the pose estimation algorithm (Keypoint RCNN) with signal processing techniques, demonstrating its reliability and effectiveness.The reliability and validity of this m...
Humans Algorithms Deep Learning Female Movement Signal Processing, Computer-Assisted Reproducibility of Results Bicycling Accelerometry Young Adult Adult Male
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Mammalian piRNA target prediction using a hierarchical attention model.

BMC bioinformatics Feb 11, 2025
BACKGROUND: Piwi-interacting RNAs (piRNAs) are well established for monitoring and protecting the genome from transposons in germline cells. Recently, numerous studies provided evidence that piRNAs also play important roles in regulating mRNA transcr...
Mammals Animals Piwi-Interacting RNA Deep Learning Humans Computational Biology Mice RNA, Small Interfering
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Deep attention model for arrhythmia signal classification based on multi-objective crayfish optimization algorithmic variational mode decomposition.

Scientific reports Feb 11, 2025
The detection and classification of arrhythmia play a vital role in the diagnosis and management of cardiac disorders. Many deep learning techniques are utilized for arrhythmia classification in current research but only based on ECG data, lacking th...
Humans Algorithms Finite Element Analysis Animals Electrocardiography Models, Cardiovascular Deep Learning Signal Processing, Computer-Assisted Astacoidea Arrhythmias, Cardiac
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Artificial intelligence support improves diagnosis accuracy in anterior segment eye diseases.

Scientific reports Feb 11, 2025
CorneAI, a deep learning model designed for diagnosing cataracts and corneal diseases, was assessed for its impact on ophthalmologists' diagnostic accuracy. In the study, 40 ophthalmologists (20 specialists and 20 residents) classified 100 images, in...
Ophthalmologists Male Deep Learning Smartphone Cataract Eye Diseases Anterior Eye Segment Humans Artificial Intelligence Female
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Interpretable deep learning of single-cell and epigenetic data reveals novel molecular insights in aging.

Scientific reports Feb 11, 2025
Deep learning (DL) and explainable artificial intelligence (XAI) have emerged as powerful machine-learning tools to identify complex predictive data patterns in a spatial or temporal domain. Here, we consider the application of DL and XAI to large om...
Deep Learning Single-Cell Analysis Epigenesis, Genetic Epigenomics DNA Methylation Aged Aging Transcriptome Humans
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