AIMC Topic: Microcirculation

Clear Filters Showing 11 to 20 of 20 articles

Development and Evaluation of a Machine Learning Prediction Model for Flap Failure in Microvascular Breast Reconstruction.

Annals of surgical oncology
BACKGROUND: Despite high success rates, flap failure remains an inherent risk in microvascular breast reconstruction. Identifying patients who are at high risk for flap failure would enable us to recommend alternative reconstructive techniques. Howev...

Latticed Channel Model of Touchable Communication Over Capillary Microcirculation Network.

IEEE transactions on nanobioscience
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...

A user-guided tool for semi-automated cerebral microbleed detection and volume segmentation: Evaluating vascular injury and data labelling for machine learning.

NeuroImage. Clinical
BACKGROUND AND PURPOSE: With extensive research efforts in place to address the clinical relevance of cerebral microbleeds (CMBs), there remains a need for fast and accurate methods to detect and quantify CMB burden. Although some computer-aided dete...

DETECTION OF HYPOVOLEMIA BY THE HYPOTENSION PREDICTION INDEX IS ASSOCIATED WITH GASTROINTESTINAL MICROCIRCULATION DYSFUNCTION IN A PORCINE MODEL OF HEMORRHAGE.

Shock (Augusta, Ga.)
Background: Postoperative gastrointestinal (GI) dysfunction is a common complication following critical illness. The splanchnic circulation is sensitive to changes in volume status and is unduly impacted by volume loss compared to other organ systems...

Multispectral snapshot imaging of skin microcirculatory hemoglobin oxygen saturation using artificial neural networks trained on in vivo data.

Journal of biomedical optics
SIGNIFICANCE: Developing algorithms for estimating blood oxygenation from snapshot multispectral imaging (MSI) data is challenging due to the complexity of sensor characteristics and photon transport modeling in tissue. We circumvent this using a met...

Machine learning in multiexposure laser speckle contrast imaging can replace conventional laser Doppler flowmetry.

Journal of biomedical optics
Laser speckle contrast imaging (LSCI) enables video rate imaging of blood flow. However, its relation to tissue blood perfusion is nonlinear and depends strongly on exposure time. By contrast, the perfusion estimate from the slower laser Doppler flow...

[Changes of platelet rheological behavior and the interventional effects of ulinastatin in rats with high-voltage electrical burns].

Zhonghua shao shang za zhi = Zhonghua shaoshang zazhi = Chinese journal of burns
To explore the influence of high-voltage electrical burns on the number of platelet aggregation, β-thromboglobulin (β-TG) and platelet factor 4 (PF-4) and the interventional effects of ulinastatin in rats with high-voltage electrical burns. A total...