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Severity of Illness Index

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Artificial intelligence-enhanced detection of subclinical coronary artery disease in athletes: diagnostic performance and limitations.

The international journal of cardiovascular imaging Oct 7, 2024
PURPOSE: This study evaluates the diagnostic performance of artificial intelligence (AI)-based coronary computed tomography angiography (CCTA) for detecting coronary artery disease (CAD) and assessing fractional flow reserve (FFR) in asymptomatic mal...
Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography Artificial Intelligence Prospective Studies Reproducibility of Results Aged Coronary Vessels Asymptomatic Diseases Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Running Athletes Humans
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Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach.

JMIR cardio Sep 30, 2024
BACKGROUND: Valvular heart disease (VHD) is a leading cause of cardiovascular morbidity and mortality that poses a substantial health care and economic burden on health care systems. Administrative diagnostic codes for ascertaining VHD diagnosis are ...
Adult Humans Severity of Illness Index Delivery of Health Care, Integrated Algorithms Male Female Echocardiography Natural Language Processing Aged Middle Aged Heart Valve Diseases California
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Relationship matters: Using machine learning methods to predict the mental health severity of Chinese college freshmen during the pandemic period.

Journal of affective disorders Sep 26, 2024
BACKGROUND: Pandemics act as stressors and may lead to frequent mental health disorders. College student, especially freshmen, are particularly susceptible to experiencing intense mental stress reactions during a pandemic. We aimed to identify stable...
Mental Health Male Students Anxiety Severity of Illness Index Female SARS-CoV-2 Young Adult Adult China Humans Depression Machine Learning Adolescent Pandemics Universities COVID-19
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Multi-modality artificial intelligence-based transthyretin amyloid cardiomyopathy detection in patients with severe aortic stenosis.

European journal of nuclear medicine and molecular imaging Sep 23, 2024
PURPOSE: Transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequent concomitant condition in patients with severe aortic stenosis (AS), yet it often remains undetected. This study aims to comprehensively evaluate artificial intelligence-based model...
Male Severity of Illness Index Aortic Valve Stenosis Multimodal Imaging Cardiomyopathies Amyloid Neuropathies, Familial Artificial Intelligence Prospective Studies Female Aged Aged, 80 and over Humans
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Identification of four novel acute-on-chronic liver failure clusters with distinct clinical trajectories and mortality using machine learning methods.

Alimentary pharmacology & therapeutics Sep 23, 2024
BACKGROUND AND AIMS: Machine learning (ML) can identify the hidden patterns without hypothesis in heterogeneous diseases like acute-on-chronic live failure (ACLF). We employed ML to describe and predict yet unknown clusters in ACLF.
Humans Machine Learning Algorithms Prognosis Female Adult Male Middle Aged Severity of Illness Index Latent Class Analysis Cluster Analysis Acute-On-Chronic Liver Failure
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Hallux valgus and pes planus: Correlation analysis using deep learning-assisted radiographic angle measurements.

Foot and ankle surgery : official journal of the European Society of Foot and Ankle Surgeons Sep 19, 2024
BACKGROUND: The relationship between hallux valgus (HV) and pes planus remains unresolved. This study aims to determine the correlation between HV and pes planus using a deep learning (DL) model to measure radiographic angle parameters.
Deep Learning Radiography Correlation of Data Flatfoot Hallux Valgus Adult Male Humans Middle Aged Retrospective Studies Severity of Illness Index Female Aged Young Adult
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Identifying severe community-acquired pneumonia using radiomics and clinical data: a machine learning approach.

Scientific reports Sep 19, 2024
Evaluating Community-Acquired Pneumonia (CAP) is crucial for determining appropriate treatment methods. In this study, we established a machine learning model using radiomics and clinical features to rapidly and accurately identify Severe Community-A...
Machine Learning Tomography, X-Ray Computed Female Aged Adult Humans Pneumonia Community-Acquired Infections Radiomics Male Middle Aged Severity of Illness Index
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Deep Learning Model of Diastolic Dysfunction Risk Stratifies the Progression of Early-Stage Aortic Stenosis.

JACC. Cardiovascular imaging Sep 18, 2024
BACKGROUND: The development and progression of aortic stenosis (AS) from aortic valve (AV) sclerosis is highly variable and difficult to predict.
Ventricular Dysfunction, Left Diastole Sclerosis Disease Progression Severity of Illness Index Deep Learning Time Factors United States Calcinosis Aortic Valve Stenosis Aortic Valve Predictive Value of Tests Ventricular Function, Left Echocardiography Middle Aged Risk Assessment Reproducibility of Results Risk Factors Aged Male Humans Prognosis Female
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An automated framework for pediatric hip surveillance and severity assessment using radiographs.

International journal of computer assisted radiology and surgery Sep 16, 2024
PURPOSE: Hip dysplasia is the second most common orthopedic condition in children with cerebral palsy (CP) and may result in disability and pain. The migration percentage (MP) is a widely used metric in hip surveillance, calculated based on an anteri...
Humans Machine Learning Algorithms Female Child, Preschool Male Child Infant Radiography Severity of Illness Index Cerebral Palsy
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Image-Based Artificial Intelligence in Psoriasis Assessment: The Beginning of a New Diagnostic Era?

American journal of clinical dermatology Sep 11, 2024
Psoriasis, a chronic inflammatory skin disease, affects millions of people worldwide. It imposes a significant burden on patients' quality of life and healthcare systems, creating an urgent need for optimized diagnosis, treatment, and management. In ...
Artificial Intelligence Machine Learning Algorithms Quality of Life Severity of Illness Index Psoriasis Skin Image Interpretation, Computer-Assisted Humans
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