AIMC Topic: Hyperemia

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New approach of classifying venous congestion in critically ill patients based on unsupervised machine-learning technique.

Anaesthesia, critical care & pain medicine May 4, 2024
Humans Critical Illness Unsupervised Machine Learning Hyperemia
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Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphones.

International journal of surgery (London, England) Nov 1, 2023
Humans Deep Learning Smartphone Mammaplasty Free Tissue Flaps Perforator Flap Hyperemia
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Quantization of extraoral free flap monitoring for venous congestion with deep learning integrated iOS applications on smartphones: a diagnostic study.

International journal of surgery (London, England) Jun 1, 2023
BACKGROUND: Free flap monitoring is essential for postmicrosurgical management and outcomes but traditionally relies on human observers; the process is subjective and qualitative and imposes a heavy burden on staffing. To scientifically monitor and q...
Humans Retrospective Studies Deep Learning Smartphone Free Tissue Flaps Hyperemia
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Objective evaluation of allergic conjunctival disease (with a focus on the application of artificial intelligence technology).

Allergology international : official journal of the Japanese Society of Allergology Jun 17, 2020
We have summarized the past efforts and results of objective measurement methods for conjunctival hyperemia classification. Severity classification using conjunctival blood vessel occupancy rate, ocular surface temperature analysis, and artificial in...
Humans Artificial Intelligence Severity of Illness Index Hyperemia Slit Lamp Microscopy Conjunctivitis, Allergic
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Defining heterogeneity of epicardial functional stenosis with low coronary flow reserve by unsupervised machine learning.

Heart and vessels Jun 6, 2020
Low CFR is associated with poor prognosis, whereas it is a heterogeneous condition according to the actual coronary flow, such as high resting or low hyperemic coronary flow, which should have different physiological traits and clinical implications....
Humans Prognosis Republic of Korea Female Aged Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Cluster Analysis Unsupervised Machine Learning Predictive Value of Tests Registries Japan Spain Blood Flow Velocity Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Hyperemia
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On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings.

Artificial intelligence in medicine Jun 30, 2016
OBJECTIVE: The sudden increase of blood flow in the bulbar conjunctiva, known as hyperemia, is associated to a red hue of variable intensity. Experts measure hyperemia using levels in a grading scale, a procedure that is subjective, non-repeatable an...
Humans Neural Networks, Computer Diagnosis, Computer-Assisted Regression Analysis Hyperemia
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