AIMC Topic: Severity of Illness Index

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Factors associated with the development of severe asthma: A nationwide study (FINASTHMA).

Annals of allergy, asthma & immunology : official publication of the American College of Allergy, Asthma, & Immunology Mar 9, 2025
BACKGROUND: Severe asthma presents a major challenge to health care and negatively affects the quality of life of patients. Understanding the factors predicting the development of severe asthma is limited.
Female Risk Factors Aged Young Adult Humans Severity of Illness Index Adolescent Sinusitis Finland Adult Asthma Male Middle Aged
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D-GET: Group-Enhanced Transformer for Diabetic Retinopathy Severity Classification in Fundus Fluorescein Angiography.

Journal of medical systems Mar 6, 2025
Early detection of Diabetic Retinopathy (DR) is vital for preserving vision and preventing deterioration of eyesight. Fundus Fluorescein Angiography (FFA), recognized as the gold standard for diagnosing DR, effectively reveals abnormalities in retina...
Fluorescein Angiography Humans Diabetic Retinopathy Algorithms Severity of Illness Index Deep Learning Fundus Oculi Image Interpretation, Computer-Assisted
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Measuring the severity of knee osteoarthritis with an aberration-free fast line scanning Raman imaging system.

Analytica chimica acta Mar 5, 2025
Osteoarthritis (OA) is a major cause of disability worldwide, with symptoms like joint pain, limited functionality, and decreased quality of life, potentially leading to deformity and irreversible damage. Chemical changes in joint tissues precede ima...
Spectrum Analysis, Raman Signal-To-Noise Ratio Osteoarthritis, Knee Humans Algorithms Severity of Illness Index Deep Learning
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Explainable machine learning model for predicting acute pancreatitis mortality in the intensive care unit.

BMC gastroenterology Mar 3, 2025
BACKGROUND: Current prediction models are suboptimal for determining mortality risk in patients with acute pancreatitis (AP); this might be improved by using a machine learning (ML) model. In this study, we aimed to construct an explainable ML model ...
Middle Aged Risk Assessment Severity of Illness Index Hospital Mortality ROC Curve Acute Disease APACHE Pancreatitis Female Aged Adult Male Humans Machine Learning Intensive Care Units
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Modifying the severity and appearance of psoriasis using deep learning to simulate anticipated improvements during treatment.

Scientific reports Mar 3, 2025
A neural network was trained to generate synthetic images of severe and moderate psoriatic plaques, after being trained on 375 photographs of patients with psoriasis taken in a clinical setting. A latent w-space vector was identified that allowed the...
Male Middle Aged Severity of Illness Index Deep Learning Humans Neural Networks, Computer Female Adult Psoriasis
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Artificial intelligence quantification and experienced reader computed tomography analysis for differentiating normal from minimally and mildly diseased coronary arteries: an early real-world compatibility study.

The international journal of cardiovascular imaging Feb 28, 2025
Differentiating normal from minimally and mildly diseased coronary arteries on coronary computed tomographic angiography (CCTA) is crucial, impacting treatment decisions due to the extremely low coronary artery event risk associated with the former. ...
Female Reproducibility of Results Aged Male Humans Artificial Intelligence Retrospective Studies Plaque, Atherosclerotic Vascular Calcification Radiographic Image Interpretation, Computer-Assisted Asymptomatic Diseases Coronary Artery Disease Computed Tomography Angiography Middle Aged Observer Variation Severity of Illness Index Coronary Vessels Predictive Value of Tests Coronary Angiography
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A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity.

Scientific reports Feb 22, 2025
Chest computed tomography (CT) scans are essential for accurately assessing the severity of the novel Coronavirus (COVID-19), facilitating appropriate therapeutic interventions and monitoring disease progression. However, determining COVID-19 severit...
Male Lung Severity of Illness Index Deep Learning COVID-19 Tomography, X-Ray Computed Female SARS-CoV-2 Humans Neural Networks, Computer
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Machine learning and computational fluid dynamics derived FFRCT demonstrate comparable diagnostic performance in patients with coronary artery disease; A Systematic Review and Meta-Analysis.

Journal of cardiovascular computed tomography Feb 22, 2025
BACKGROUND: As a new noninvasive diagnostic technique, computed tomography-derived fraction flow reserve (FFRCT) has been used to identify hemodynamically significant coronary artery stenosis. FFRCT can be calculated using computational fluid dynamic...
Coronary Vessels Predictive Value of Tests Humans Coronary Stenosis Hydrodynamics Coronary Angiography Fractional Flow Reserve, Myocardial Computed Tomography Angiography Machine Learning Radiographic Image Interpretation, Computer-Assisted Models, Cardiovascular Reproducibility of Results Coronary Artery Disease Severity of Illness Index
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Machine Learning in Intravascular Ultrasound: Validating Automated Lesion Assessment for Complex Coronary Interventions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Feb 21, 2025
BACKGROUND: Intravascular ultrasound (IVUS) is essential for assessing complex coronary lesions, but remains underutilized in part due to difficulties in image interpretation. The AVVIGO IVUS Automated Lesion Assessment (ALA) software, which uses mac...
Image Interpretation, Computer-Assisted Observer Variation Automation Coronary Vessels Percutaneous Coronary Intervention Coronary Artery Disease Reproducibility of Results Prosthesis Design Severity of Illness Index Aged Stents Treatment Outcome Male Predictive Value of Tests Humans Middle Aged Ultrasonography, Interventional Machine Learning Retrospective Studies Female
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Improving reliability of movement assessment in Parkinson's disease using computer vision-based automated severity estimation.

Journal of Parkinson's disease Feb 13, 2025
BackgroundClinical assessments of motor symptoms rely on observations and subjective judgments against standardized scales, leading to variability due to confounders. Improving inter-rater agreement is essential for effective disease management.Objec...
Humans Machine Learning Prospective Studies Female Neurologic Examination Severity of Illness Index Parkinson Disease Reproducibility of Results Video Recording Aged Movement Male Middle Aged
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