AIMC Journal:
Computer methods and programs in biomedicine

Showing 821 to 830 of 863 articles

Understanding deep learning models for Length of Stay prediction on critically ill patients through latent space visualization.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Continuous, real-time monitoring of Length of Stay (LoS) for critically ill patients in Intensive Care Units (ICUs) is essential for anticipating patient needs, reduce the risk of adverse events, optimize resource allocation...
Humans Algorithms Critical Illness Intensive Care Units Deep Learning Length of Stay
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Deep learning techniques for automated coronary artery segmentation and coronary artery disease detection: A systematic review of the last decade (2013-2024).

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND: Coronary artery disease (CAD) is the most common cardiovascular disease, exacting high morbidity and mortality worldwide. CAD is detected on coronary artery imaging; coronary artery segmentation (CAS) of the images is essential for corona...
Deep Learning Coronary Artery Disease Coronary Vessels Humans Neural Networks, Computer Algorithms
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The impact of clinical history on the predictive performance of machine learning and deep learning models for renal complications of diabetes.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Diabetes is a chronic disease characterised by a high risk of developing diabetic nephropathy. The early identification of individuals at heightened risk of such complications or their exacerbation can be crucial to set a co...
Deep Learning Diabetes Mellitus, Type 2 Diabetic Nephropathies Logistic Models Glomerular Filtration Rate Proportional Hazards Models Aged Male Middle Aged Retrospective Studies Female Humans Neural Networks, Computer Machine Learning
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Multi-positive contrastive learning-based cross-attention model for T cell receptor-antigen binding prediction.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: T cells play a vital role in the immune system by recognizing and eliminating infected or cancerous cells, thus driving adaptive immune responses. Their activation is triggered by the binding of T cell receptors (TCRs) to ep...
T-Lymphocytes Peptides Receptors, Antigen, T-Cell Humans Machine Learning Algorithms Protein Binding Computational Biology Major Histocompatibility Complex
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Causal insights from clinical information in radiology: Enhancing future multimodal AI development.

Computer methods and programs in biomedicine Aug 1, 2025
PURPOSE: This study investigates the causal mechanisms underlying radiology report generation by analyzing how clinical information and prior imaging examinations contribute to annotation shifts. We systematically estimate why and how biases manifest...
Humans Neural Networks, Computer Artificial Intelligence Radiology Databases, Factual Radiography, Thoracic Propensity Score Retrospective Studies Logistic Models
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A myocardial reorientation method based on feature point detection for quantitative analysis of PET myocardial perfusion imaging.

Computer methods and programs in biomedicine Aug 1, 2025
OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is essential for cardiac PET image analysis. This study aims to design a convolutional neural network (CNN) for automatic reorientation and evaluate its ...
Ammonia Myocardial Perfusion Imaging Humans Nitrogen Radioisotopes Algorithms Neural Networks, Computer Image Processing, Computer-Assisted Reproducibility of Results Artificial Intelligence Heart Male Positron-Emission Tomography
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UltrasOM: A mamba-based network for 3D freehand ultrasound reconstruction using optical flow.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND: Three-dimensional (3D) ultrasound (US) reconstruction is of significant value in clinical diagnosis, characterized by its safety, portability, low cost, and high real-time capabilities. 3D freehand ultrasound reconstruction aims to elimin...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Forearm Humans Algorithms Ultrasonography
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Machine learning-based approaches for distinguishing viral and bacterial pneumonia in paediatrics: A scoping review.

Computer methods and programs in biomedicine Aug 1, 2025
BACKGROUND AND OBJECTIVE: Pneumonia is the leading cause of hospitalisation and mortality among children under five, particularly in low-resource settings. Accurate differentiation between viral and bacterial pneumonia is essential for guiding approp...
Child, Preschool Child Diagnosis, Differential Infant Deep Learning Humans Adolescent Pediatrics Machine Learning Pneumonia, Bacterial Infant, Newborn Pneumonia, Viral
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A systematic review of AI as a digital twin for prostate cancer care.

Computer methods and programs in biomedicine Aug 1, 2025
Artificial Intelligence (AI) and Digital Twin (DT) technologies are rapidly transforming healthcare, offering the potential for personalized, accurate, and efficient medical care. This systematic review focuses on the intersection of AI-based digital...
Deep Learning Machine Learning Humans Decision Support Systems, Clinical Artificial Intelligence Algorithms Prostatic Neoplasms Male
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Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.

Computer methods and programs in biomedicine Jun 1, 2025
BACKGROUND AND OBJECTIVE: The objective of this study was to develop an automated, accurate method of assessing coronary artery disease (CAD), including its severity and location, using deep-mining-based magnetocardiography (MCG) pattern features.
Coronary Artery Disease Humans Data Mining Magnetocardiography Machine Learning Severity of Illness Index Algorithms Female Deep Learning Male ROC Curve Middle Aged
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