AIMC Topic: Algorithms

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GNN-RMNet: Leveraging graph neural networks and GPS analytics for driver behavior and route optimization in logistics.

PloS one Aug 7, 2025
Logistics networks are becoming increasingly complex and rely more heavily on real-time vehicle data, necessitating intelligent systems to monitor driver behavior and identify route anomalies. Traditional techniques struggle to capture the dynamic sp...
Geographic Information Systems Deep Learning Automobile Driving Humans Neural Networks, Computer Algorithms Graph Neural Networks
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Reducing bias in coronary heart disease prediction using Smote-ENN and PCA.

PloS one Aug 7, 2025
Coronary heart disease (CHD) is a major cardiovascular disorder that poses significant threats to global health and is increasingly affecting younger populations. Its treatment and prevention face challenges such as high costs, prolonged recovery per...
Algorithms Male Support Vector Machine Humans Machine Learning Coronary Disease Decision Trees Principal Component Analysis Bias
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Lightweight wavelet convolutional network for guidewire segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Aug 6, 2025
Accurate guidewire segmentation is crucial for the success of vascular interventional procedures. Existing methods rely on a large number of parameters, making it difficult to balance performance and model size. In addition, the difficulty of collect...
Algorithms Image Processing, Computer-Assisted Fluoroscopy Humans Wavelet Analysis Neural Networks, Computer
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Multi-modal machine learning classifier for idiopathic pulmonary fibrosis predicts mortality in interstitial lung diseases.

Respiratory investigation Aug 6, 2025
BACKGROUND: Interstitial lung disease (ILD) prognostication incorporates clinical history, pulmonary function testing (PFTs), and chest CT pattern classifications. The machine learning classifier, Fibresolve, includes a model to help detect CT patter...
Female Aged Male Lung Diseases, Interstitial Algorithms Middle Aged Proportional Hazards Models Humans Prognosis Idiopathic Pulmonary Fibrosis Respiratory Function Tests Machine Learning Tomography, X-Ray Computed Predictive Value of Tests
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Comparison of machine learning models for mucopolysaccharidosis early diagnosis using UAE medical records.

Scientific reports Aug 6, 2025
Rare diseases, such as Mucopolysaccharidosis (MPS), present significant challenges to the healthcare system. Some of the most critical challenges are the delay and the lack of accurate disease diagnosis. Early diagnosis of MPS is crucial, as it has t...
Bayes Theorem Young Adult Retrospective Studies Early Diagnosis Male Adolescent Humans Mucopolysaccharidoses Electronic Health Records Infant Child, Preschool Machine Learning Female Child Algorithms
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Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study.

Scientific reports Aug 6, 2025
Conventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle stud...
Humans Phantoms, Imaging Image Processing, Computer-Assisted Algorithms Tomography, X-Ray Computed Calcium Computer Simulation Deep Learning Gadolinium Iodine
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Identifying ferroptosis-related genes in lung adenocarcinoma using random walk with restart in the PPI network.

Scientific reports Aug 6, 2025
Lung adenocarcinoma (LUAD), the most common non-small cell lung cancer subtype, often presents with subtle early symptoms leading to delayed diagnosis. Ferroptosis, a cell death process associated with iron metabolism dysregulation, has been linked t...
Gene Regulatory Networks Lung Neoplasms Gene Expression Regulation, Neoplastic Tumor Microenvironment Ferroptosis Gene Expression Profiling Adenocarcinoma of Lung Humans Protein Interaction Maps X-Box Binding Protein 1 Algorithms
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Predictive Modeling of Osteonecrosis of the Femoral Head Progression Using MobileNetV3_Large and Long Short-Term Memory Network: Novel Approach.

JMIR medical informatics Aug 6, 2025
BACKGROUND: The assessment of osteonecrosis of the femoral head (ONFH) often presents challenges in accuracy and efficiency. Traditional methods rely on imaging studies and clinical judgment, prompting the need for advanced approaches. This study aim...
Disease Progression Deep Learning Magnetic Resonance Imaging Humans Algorithms Adult Femur Head Female Femur Head Necrosis Male Middle Aged
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Artificial intelligence algorithms for differentiating pseudoprogression from true progression in high-grade gliomas: A systematic review and meta-analysis.

Neurosurgical review Aug 6, 2025
Differentiating pseudoprogression (PsP) from true progression (TP) in high-grade glioma (HGG) patients is still challenging and critical for effective treatment management. This meta-analysis evaluates the diagnostic accuracy of artificial intelligen...
Disease Progression Humans Artificial Intelligence Glioma Algorithms Neoplasm Grading Brain Neoplasms
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Targeting neurodegeneration: three machine learning methods for G9a inhibitors discovery using PubChem and scikit-learn.

Journal of computer-aided molecular design Aug 6, 2025
In light of the increasing interest in G9a's role in neuroscience, three machine learning (ML) models, that are time efficient and cost effective, were developed to support researchers in this area. The models are based on data provided by PubChem an...
Humans Machine Learning Algorithms Drug Discovery Neurodegenerative Diseases Enzyme Inhibitors
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