AIMC Topic: Algorithms

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A Innovative Strategy for Identifying Subtypes Through the Analysis of Multi-Omics Data with Adversarial Autoencoders.

Journal of computational biology : a journal of computational molecular cell biology Jun 26, 2025
Cancer is a disease that is both complex and diverse, and effective diagnosis and treatment require an accurate depiction of tumor subtypes. Traditional methods of cancer identification, which rely on clinical and histopathological criteria, have lim...
Humans Algorithms Neoplasms Multiomics Autoencoder Generative Adversarial Networks Genomics Computational Biology
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Developing interpretable machine learning models to predict length of stay and disposition decision for adult patients in emergency departments.

BMJ health & care informatics Jun 26, 2025
OBJECTIVE: Machine learning (ML) models have emerged as tools to predict length of stay (LOS) and disposition decision (DD) in emergency departments (EDs) to combat overcrowding. However, site-specific ML models are not transferable to different site...
Male Middle Aged Young Adult Adult Emergency Service, Hospital Patient Discharge Length of Stay Triage Humans Machine Learning Female Aged Algorithms
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Attention-based hybrid deep learning model with CSFOA optimization and G-TverskyUNet3+ for Arabic sign language recognition.

Scientific reports Jun 26, 2025
Arabic sign language (ArSL) is a visual-manual language which facilitates communication among Deaf people in the Arabic-speaking nations. Recognizing the ArSL is crucial due to variety of reasons, including its impact on the Deaf populace, education,...
Sign Language Deep Learning Humans Algorithms Attention
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A novel dual-branch network for comprehensive spatiotemporal information integration for EEG-based epileptic seizure detection.

PloS one Jun 26, 2025
Epilepsy is a neurological disorder characterized by recurrent seizures caused by abnormal brain activity, which can severely affects people's normal lives. To improve the lives of these patients, it is necessary to develop accurate methods to predic...
Seizures Signal Processing, Computer-Assisted Electroencephalography Epilepsy Algorithms Deep Learning Neural Networks, Computer Humans
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Effect of the exposure to brominated flame retardants on hyperuricemia using interpretable machine learning algorithms based on the SHAP methodology.

PloS one Jun 26, 2025
BACKGROUND: Brominated flame retardants (BFRs) are classified as important endocrine disruptors and persistent organic pollutants; nevertheless, there is no comprehensive investigation to evaluate the association between BFRs and hyperuricemia, and t...
Environmental Exposure Hyperuricemia Flame Retardants Middle Aged Nutrition Surveys Adult Algorithms Male Female Aged Humans Machine Learning
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Adaptive DDoS detection mode in software-defined SIP-VoIP using transfer learning with boosted meta-learner.

PloS one Jun 26, 2025
The Internet has continued to provision its infrastructure as a platform for competitive marketing, enhanced productivity, and monetization efficacy. However, it has become a means for adversaries to exploit unsuspecting users and, in turn, compromis...
Humans Machine Learning Internet Computer Security Software Algorithms
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A novel twin time series network for building energy consumption predicting.

PloS one Jun 26, 2025
Energy consumption prediction in buildings is crucial for optimizing energy management. The latest research faces three critical challenges: (1) Insufficient temporal correlation extraction and prediction accuracy, hindering widespread adoption and a...
Humans Neural Networks, Computer Algorithms
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A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.

PloS one Jun 26, 2025
Rolling bearings are the core transmission components of large-scale rotating machinery such as wind power gearboxes and aviation engines, so timely and effective monitoring and diagnosis of their status are crucial to ensure the stable operation of ...
Noise Signal-To-Noise Ratio Deep Learning Models, Theoretical Humans Algorithms
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Self-supervised suppression of MRI cardiac device artifacts based on multi-instance contrastive learning and anisotropic spatiotemporal transformer.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 25, 2025
Cardiovascular implantable electronic devices (CIEDs) induce severe off-resonance artifacts in balanced steady-state free precession (bSSFP) cine MRI, limiting diagnostic utility for a growing patient population. While supervised and unpaired learnin...
Humans Algorithms Anisotropy Supervised Machine Learning Magnetic Resonance Imaging, Cine Artifacts Image Processing, Computer-Assisted
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How well do multimodal LLMs interpret CT scans? An auto-evaluation framework for analyses.

Journal of biomedical informatics Jun 25, 2025
OBJECTIVE: This study introduces a novel evaluation framework, GPTRadScore, to systematically assess the performance of multimodal large language models (MLLMs) in generating clinically accurate findings from CT imaging. Specifically, GPTRadScore lev...
Humans Tomography, X-Ray Computed Natural Language Processing Algorithms Retrospective Studies
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