AI Medical Compendium Journal:
Computer methods and programs in biomedicine

Showing 11 to 20 of 844 articles

Lag-Net: Lag correction for cone-beam CT via a convolutional neural network.

Computer methods and programs in biomedicine Apr 12, 2025
BACKGROUND AND OBJECTIVE: Due to the presence of charge traps in amorphous silicon flat-panel detectors, lag signals are generated in consecutively captured projections. These signals lead to ghosting in projection images and severe lag artifacts in ...
Humans Neural Networks, Computer Cone-Beam Computed Tomography Image Processing, Computer-Assisted Artifacts Phantoms, Imaging Algorithms Deep Learning Convolutional Neural Networks
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GDReCo: Fine-grained gene-disease relationship extraction corpus.

Computer methods and programs in biomedicine Apr 11, 2025
BACKGROUND AND OBJECTIVE: Understanding gene-disease relationships is crucial for medical research, drug discovery, clinical diagnosis, and other fields. However, there is currently no high-quality, fine-grained corpus available for training Natural ...
Disease Computational Biology Humans Databases, Genetic Algorithms Natural Language Processing Genetic Predisposition to Disease
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Factors influencing the estimation of phacoemulsification procedure time in cataract surgery: Analysis using neural networks.

Computer methods and programs in biomedicine Apr 10, 2025
BACKGROUND AND OBJECTIVE: Realistic and accurate estimation of the surgery duration is one of the key factors influencing the optimization of hospital work and, consequently, the planning and management of the budget. In the present study, the author...
Male Middle Aged Time Factors Cataract Extraction Phacoemulsification Operative Time Visual Acuity Female Aged Aged, 80 and over Neural Networks, Computer Machine Learning Algorithms Humans
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Global-Local Transformer Network for Automatic Retinal Pathological Fluid Segmentation in Optical Coherence Tomography Images.

Computer methods and programs in biomedicine Apr 10, 2025
BACKGROUND AND OBJECTIVE: As a pivotal biomarker, the accurate segmentation of retinal pathological fluid such as intraretinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED), was a critical task for diagnosis and treatme...
Retinal Diseases Image Processing, Computer-Assisted Humans Subretinal Fluid Tomography, Optical Coherence Neural Networks, Computer Retina Algorithms
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A deep learning framework leveraging spatiotemporal feature fusion for electrophysiological source imaging.

Computer methods and programs in biomedicine Apr 8, 2025
BACKGROUND AND OBJECTIVES: Electrophysiological source imaging (ESI) is a challenging technique for noninvasively measuring brain activity, which involves solving a highly ill-posed inverse problem. Traditional methods attempt to address this challen...
Electroencephalography Signal Processing, Computer-Assisted Signal-To-Noise Ratio Deep Learning Image Processing, Computer-Assisted Brain Mapping Humans Neural Networks, Computer Computer Simulation Spatio-Temporal Analysis Algorithms Brain
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Reinforcement learning using neural networks in estimating an optimal dynamic treatment regime in patients with sepsis.

Computer methods and programs in biomedicine Apr 8, 2025
OBJECTIVE: Early fluid resuscitation is crucial in the treatment of sepsis, yet the optimal dosage remains debated. This study aims to determine the optimal multi-stage fluid resuscitation dosage for sepsis patients.
Sepsis Fluid Therapy Humans Computer Simulation Deep Learning Neural Networks, Computer Algorithms
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Automated determination of hip arthrosis on the Kellgren-Lawrence scale in pelvic digital radiographs scans using machine learning.

Computer methods and programs in biomedicine Apr 5, 2025
BACKGROUND AND OBJECTIVE: Automated analysis of digital radiographs of the pelvis to determine the hip arthrosis state in concordance with the Kellgren-Lawrence scale could facilitate and standardize radiogram descriptions.
Osteoarthritis, Hip Radiographic Image Interpretation, Computer-Assisted Automation Hip Joint Humans Machine Learning Algorithms Radiography Pelvis Female Deep Learning
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Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.

Computer methods and programs in biomedicine Apr 2, 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.
Female Male Middle Aged Humans Machine Learning Coronary Artery Disease Algorithms Severity of Illness Index Magnetocardiography Data Mining Deep Learning ROC Curve
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Personalized glucose forecasting for people with type 1 diabetes using large language models.

Computer methods and programs in biomedicine Apr 2, 2025
BACKGROUND AND OBJECTIVE: Type 1 Diabetes (T1D) is an autoimmune disease that requires exogenous insulin via Multiple Daily Injections (MDIs) or subcutaneous pumps to maintain targeted glucose levels. Despite the advances in Continuous Glucose Monito...
Male Large Language Models Blood Glucose Humans Language Insulin Infusion Systems Insulin Forecasting Female Diabetes Mellitus, Type 1 Precision Medicine Adult Blood Glucose Self-Monitoring
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Self-supervised multi-modality learning for multi-label skin lesion classification.

Computer methods and programs in biomedicine Apr 1, 2025
BACKGROUND: The clinical diagnosis of skin lesions involves the analysis of dermoscopic and clinical modalities. Dermoscopic images provide detailed views of surface structures, while clinical images offer complementary macroscopic information. Clini...
Neural Networks, Computer Algorithms Melanoma Humans Deep Learning Cluster Analysis Skin Neoplasms Supervised Machine Learning Dermoscopy Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted
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