AIMC Topic: Capillaries
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3D convolutional neural networks for stalled brain capillary detection.
Computers in biology and medicine
Nov 30, 2021
Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions, including stalled blood flow in cerebral capillaries, are associated with cognitive decline and pathogenesis in Alzheimer's disease. Recent advances in imagi...
Machine learning in optical coherence tomography angiography.
Experimental biology and medicine (Maywood, N.J.)
Jul 19, 2021
Optical coherence tomography angiography (OCTA) offers a noninvasive label-free solution for imaging retinal vasculatures at the capillary level resolution. In principle, improved resolution implies a better chance to reveal subtle microvascular dist...
Machine Learning for Prediction and Risk Stratification of Lupus Nephritis Renal Flare.
American journal of nephrology
Mar 19, 2021
BACKGROUND: Renal flare of lupus nephritis (LN) is strongly associated with poor kidney outcomes, and predicting renal flare and stratifying its risk are important for clinical decision-making and individualized management to reduce LN flare.
Neural network-based modeling of the number of microbubbles generated with four circulation factors in cardiopulmonary bypass.
Scientific reports
Jan 12, 2021
The need for the estimation of the number of microbubbles (MBs) in cardiopulmonary bypass surgery has been recognized among surgeons to avoid postoperative neurological complications. MBs that exceed the diameter of human capillaries may cause endoth...
Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network.
Translational vision science & technology
Jul 23, 2020
PURPOSE: Adaptive optics scanning laser ophthalmoscope (AOSLO) capillary perfusion images can possess large variations in contrast, intensity, and background signal, thereby limiting the use of global or adaptive thresholding techniques for automatic...
Segmenting nailfold capillaries using an improved U-net network.
Microvascular research
May 1, 2020
To assess the microcirculation in a patient's capillaries, clinicians often use the valuable and non-invasive diagnostic tool of nailfold capillaroscopy (NC). In particular, evaluating the images that result from NC is particularly important for diag...
Latticed Channel Model of Touchable Communication Over Capillary Microcirculation Network.
IEEE transactions on nanobioscience
Sep 25, 2019
Recent progress on bioresorbable and bio-compatible miniature systems provides prospects for developing novel nanorobots operating inside the human body. These nanoscale systems are expected to dissolve in vivo and cause no side effect after completi...
Minimizing postprandial hypoglycemia in Type 1 diabetes patients using multiple insulin injections and capillary blood glucose self-monitoring with machine learning techniques.
Computer methods and programs in biomedicine
Jun 27, 2019
BACKGROUND: Diabetic patients treated with intensive insulin therapies require a tight glycemic control and may benefit from advanced tools to predict blood glucose (BG) concentration levels and hypo/hyperglycemia events. Prediction systems using mac...
Postprandial Period
Blood Glucose Self-Monitoring
False Positive Reactions
Normal Distribution
Hypoglycemic Agents
Bayes Theorem
Hypoglycemia
Insulin Infusion Systems
Computer Simulation
Humans
Adult
Capillaries
Middle Aged
Retrospective Studies
Machine Learning
Sensitivity and Specificity
Blood Glucose
Female
Algorithms
Male
Insulin
Reproducibility of Results
Diabetes Mellitus, Type 1
Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies.
Computers in biology and medicine
Jul 1, 2025
BACKGROUND: Assessing the extent of inflammation in peritubular capillaries (PTCs) is important for diagnosing antibody-mediated rejection in kidney transplant biopsies. However, this assessment is time-consuming and suffers from interobserver variab...
CAPI-Detect: machine learning in capillaroscopy reveals new variables influencing diagnosis.
Rheumatology (Oxford, England)
Jun 1, 2025
OBJECTIVES: Nailfold videocapillaroscopy (NVC) is the gold standard for diagnosing SSc and differentiating primary from secondary RP. The CAPI-Score algorithm, designed for simplicity, classifies capillaroscopy scleroderma patterns (CSPs) using a lim...
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