AI Medical Compendium Journal:
Computer methods and programs in biomedicine

Showing 101 to 110 of 844 articles

Bootstrap each lead's latent: A novel method for self-supervised learning of multilead electrocardiograms.

Computer methods and programs in biomedicine Oct 9, 2024
BACKGROUND AND OBJECTIVE: Electrocardiogram (ECG) is one of the most important diagnostic tools for cardiovascular diseases (CVDs). Recent studies show that deep learning models can be trained using labeled ECGs to achieve automatic detection of CVDs...
Supervised Machine Learning Cardiovascular Diseases Deep Learning Electrocardiography Humans Algorithms
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MG-Net: A fetal brain tissue segmentation method based on multiscale feature fusion and graph convolution attention mechanisms.

Computer methods and programs in biomedicine Oct 5, 2024
BACKGROUND AND OBJECTIVE: Fetal brain tissue segmentation provides foundational support for comprehensively understanding the neurodevelopment of normal and congenital disease-affected fetuses. Manual labeling is very time-consuming, and automated se...
Humans Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Fetus Brain Pregnancy Female Neural Networks, Computer Algorithms
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ECG classification based on guided attention mechanism.

Computer methods and programs in biomedicine Oct 3, 2024
BACKGROUND AND OBJECTIVE: Integrating domain knowledge into deep learning models can improve their effectiveness and increase explainability. This study aims to enhance the classification performance of electrocardiograms (ECGs) by customizing specif...
Humans Algorithms Attention Atrial Fibrillation Wolff-Parkinson-White Syndrome Deep Learning Electrocardiography Signal Processing, Computer-Assisted
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Machine learning for post-liver transplant survival: Bridging the gap for long-term outcomes through temporal variation features.

Computer methods and programs in biomedicine Sep 29, 2024
BACKGROUND: The long-term survival of liver transplant (LT) recipients is essential for optimizing organ allocation and estimating mortality outcomes. While models like the Model-for-End-Stage-Liver-Disease (MELD) predict 90-day mortality on the wait...
Middle Aged Treatment Outcome Liver Transplantation Waiting Lists Survival Analysis Proportional Hazards Models Aged Adult Male Machine Learning Female End Stage Liver Disease Humans
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Classification of mindfulness experiences from gamma-band effective connectivity: Application of machine-learning algorithms on resting, breathing, and body scan.

Computer methods and programs in biomedicine Sep 28, 2024
BACKGROUND AND OBJECTIVE: Practicing mindfulness is a mental process toward interoceptive awareness, achieving stress reduction and emotion regulation through brain-function alteration. Literature has shown that electroencephalography (EEG)-derived c...
Male Stress, Psychological Support Vector Machine Young Adult Adult Respiration Mindfulness Bayes Theorem Electroencephalography Rest Humans Machine Learning Algorithms Brain Female
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Paying attention to uncertainty: A stochastic multimodal transformers for post-traumatic stress disorder detection using video.

Computer methods and programs in biomedicine Sep 26, 2024
BACKGROUND AND OBJECTIVES: Post-traumatic stress disorder is a debilitating psychological condition that can manifest following exposure to traumatic events. It affects individuals from diverse backgrounds and is associated with various symptoms, inc...
Uncertainty Video Recording Facial Expression Stochastic Processes Deep Learning Stress Disorders, Post-Traumatic Humans Algorithms
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Physics-Informed Graph Neural Networks to solve 1-D equations of blood flow.

Computer methods and programs in biomedicine Sep 20, 2024
BACKGROUND AND OBJECTIVE: Computational models of hemodynamics can contribute to optimizing surgical plans, and improve our understanding of cardiovascular diseases. Recently, machine learning methods have become essential to reduce the computational...
Arteries Hemodynamics Blood Flow Velocity Models, Cardiovascular Humans Neural Networks, Computer Machine Learning Algorithms Computer Simulation
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Lazy Resampling: Fast and information preserving preprocessing for deep learning.

Computer methods and programs in biomedicine Sep 19, 2024
BACKGROUND AND OBJECTIVE: Preprocessing of data is a vital step for almost all deep learning workflows. In computer vision, manipulation of data intensity and spatial properties can improve network stability and can provide an important source of gen...
Image Processing, Computer-Assisted Software Algorithms Deep Learning Humans Neural Networks, Computer
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NecroGlobalGCN: Integrating micronecrosis information in HCC prognosis prediction via graph convolutional neural networks.

Computer methods and programs in biomedicine Sep 19, 2024
BACKGROUND AND OBJECTIVE: Hepatocellular carcinoma (HCC) ranks fourth in cancer mortality, underscoring the importance of accurate prognostic predictions to improve postoperative survival rates in patients. Although micronecrosis has been shown to ha...
Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Necrosis Prognosis Female Male Humans Neural Networks, Computer
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Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach.

Computer methods and programs in biomedicine Sep 18, 2024
BACKGROUND AND OBJECTIVE: The standard of care in Acute Myeloid Leukemia patients has remained essentially unchanged for nearly 40 years. Due to the complicated mutational patterns within and between individual patients and a lack of targeted agents ...
Humans Machine Learning Antineoplastic Agents Mutation Algorithms Precision Medicine Leukemia, Myeloid, Acute
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