AIMC Topic: Algorithms

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XCAT 3.0: A comprehensive library of personalized digital twins derived from CT scans.

Medical image analysis May 3, 2025
Virtual Imaging Trials (VIT) offer a cost-effective and scalable approach for evaluating medical imaging technologies. Computational phantoms, which mimic real patient anatomy and physiology, play a central role in VITs. However, the current librarie...
Tomography, X-Ray Computed Phantoms, Imaging Algorithms Computer Simulation Humans
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Delving into transfer learning within U-Net for refined retinal vessel segmentation: An extensive hyperparameter analysis.

Photodiagnosis and photodynamic therapy May 3, 2025
Blood vessel segmentation poses numerous challenges. Firstly, blood vessels often lack sufficient contrast against the background, impeding accurate differentiation. Additionally, the overlapping nature of blood vessels complicates separating individ...
Image Processing, Computer-Assisted Retinal Vessels Machine Learning Algorithms Deep Learning Humans Neural Networks, Computer
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A dense multi-pooling convolutional network for driving fatigue detection.

Scientific reports May 3, 2025
Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles, who are more susceptible to fatigue due to prolonged driving hours and monotonous conditions during their journeys. Existing vision-based driv...
Automobile Driving Fatigue Algorithms Accidents, Traffic Humans Neural Networks, Computer
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health.

Scientific reports May 3, 2025
Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices by enhancing crop productivity and protecting against pests and diseases. However, their widespread application has raised significant concerns about...
Agrochemicals Risk Assessment Pesticides Machine Learning Algorithms Humans
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Interpretable machine learning model for predicting post-hepatectomy liver failure in hepatocellular carcinoma.

Scientific reports May 3, 2025
Post-hepatectomy liver failure (PHLF) is a severe complication following liver surgery. We aimed to develop a novel, interpretable machine learning (ML) model to predict PHLF. We enrolled 312 hepatocellular carcinoma (HCC) patients who underwent hepa...
Hepatectomy Liver Failure Liver Neoplasms Carcinoma, Hepatocellular Adult Male Postoperative Complications ROC Curve Middle Aged Machine Learning Prospective Studies Algorithms Female Aged Humans
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Multi-objective optimization framework to plan laser ablation procedure for prostate tumors through a genetic algorithm.

Computer methods and programs in biomedicine May 2, 2025
BACKGROUND AND OBJECTIVES: Prostate cancer is the most common form of cancer in the male population. While the survival rate is high, many patients undergo surgical procedures for prostate cancer that might never progress to clinical significance. As...
Male Prostatic Neoplasms Humans Algorithms Computer Simulation Laser Therapy Finite Element Analysis Genetic Algorithms
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Accurate identification and mechanistic evaluation of pathogenic missense variants with .

Proceedings of the National Academy of Sciences of the United States of America May 2, 2025
Understanding the effects of missense mutations or single amino acid variants (SAVs) on protein function is crucial for elucidating the molecular basis of diseases/disorders and designing rational therapies. We introduce here , a machine learning too...
Mutation, Missense Machine Learning Algorithms Proteins Databases, Protein Computational Biology Humans
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Ensemble Learning-Based Alzheimer's Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images.

Sensors (Basel, Switzerland) May 2, 2025
Ensemble learning (EL), a machine learning technique that combines the results of multiple learning algorithms to obtain predicted values, aims to achieve better predictive performance than a single learning algorithm alone. Machine learning techniqu...
Machine Learning Algorithms Female Humans Electroencephalography Alzheimer Disease Ensemble Learning Aged Male
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Data-driven machine learning algorithm model for pneumonia prediction and determinant factor stratification among children aged 6-23 months in Ethiopia.

BMC infectious diseases May 2, 2025
INTRODUCTION: Pneumonia is the leading cause of child morbidity and mortality and accounts for 5.6 million under-five child deaths. Pneumonia has a significant impact on the quality of life, the country's economy, and the survival of children. Theref...
Humans Machine Learning Risk Factors Male Infant Algorithms Female Ethiopia Pneumonia
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Secure healthcare data sharing and attack detection framework using radial basis neural network.

Scientific reports May 2, 2025
Secure medical data sharing and access control play a prominent role. However, it is still unclear how to provide a security architecture that can guarantee the privacy and safety of sensitive medical data. Existing methods are application-specific a...
Electronic Health Records Confidentiality Computer Security Information Dissemination Humans Neural Networks, Computer Algorithms
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