AIMC Topic: Severity of Illness Index

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Evaluation of an AI-Based Voice Biomarker Tool to Detect Signals Consistent With Moderate to Severe Depression.

Annals of family medicine Jan 27, 2025
PURPOSE: Mental health screening is recommended by the US Preventive Services Task Force for all patients in areas where treatment options are available. Still, it is estimated that only 4% of primary care patients are screened for depression. The go...
Aged Adult Cross-Sectional Studies Male Middle Aged Humans Machine Learning Biomarkers Female United States Mass Screening Voice Severity of Illness Index Depression Primary Health Care Canada
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Gait Video-Based Prediction of Severity of Cerebellar Ataxia Using Deep Neural Networks.

Movement disorders : official journal of the Movement Disorder Society Jan 22, 2025
BACKGROUND: Pose estimation algorithms applied to two-dimensional videos evaluate gait disturbances; however, a few studies have used this method to evaluate ataxic gait.
Severity of Illness Index Deep Learning Gait Video Recording Female Humans Gait Analysis Aged Neural Networks, Computer Adult Gait Disorders, Neurologic Algorithms Male Cerebellar Ataxia Middle Aged
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography.

EBioMedicine Jan 21, 2025
BACKGROUND: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for...
Female Aged Aged, 80 and over Male Echocardiography Aortic Valve Stenosis Middle Aged Humans Severity of Illness Index Artificial Intelligence Deep Learning Algorithms ROC Curve Prognosis
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Deep Learning-Enabled Assessment of Right Ventricular Function Improves Prognostication After Transcatheter Edge-to-Edge Repair for Mitral Regurgitation.

Circulation. Cardiovascular imaging Jan 21, 2025
BACKGROUND: Right ventricular (RV) function has a well-established prognostic role in patients with severe mitral regurgitation (MR) undergoing transcatheter edge-to-edge repair (TEER) and is typically assessed using echocardiography-measured tricusp...
Mitral Valve Mitral Valve Insufficiency Cardiac Catheterization Ventricular Function, Right Echocardiography Aged Severity of Illness Index Aged, 80 and over Humans Deep Learning Male Prognosis Predictive Value of Tests Stroke Volume Female Registries
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Association of and gene polymorphisms and ERAP2 protein with the susceptibility and severity of rheumatoid arthritis in the Ukrainian population.

Frontiers in immunology Jan 21, 2025
INTRODUCTION: Rheumatoid arthritis (RA) is a long-term autoimmune disorder that primarily affects joints. Although RA is chiefly associated with HLA class II, nevertheless some HLA class I associations have also been observed. These molecules present...
Male Minor Histocompatibility Antigens Humans Middle Aged Genetic Association Studies Genetic Predisposition to Disease Female Severity of Illness Index Polymorphism, Single Nucleotide Aged Aminopeptidases Genotype Adult Arthritis, Rheumatoid
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Assessing the Clinical and Functional Status of COPD Patients Using Speech Analysis During and After Exacerbation.

International journal of chronic obstructive pulmonary disease Jan 20, 2025
BACKGROUND: Chronic obstructive pulmonary disease (COPD) affects breathing, speech production, and coughing. We evaluated a machine learning analysis of speech for classifying the disease severity of COPD.
Middle Aged Disease Progression Lung Severity of Illness Index Speech Reproducibility of Results Aged Time Factors Speech Acoustics Pulmonary Disease, Chronic Obstructive Humans Support Vector Machine Speech Production Measurement Male Prospective Studies Predictive Value of Tests Voice Quality Prognosis Functional Status Female Respiratory Function Tests
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Deep Learning-Derived Quantitative Scores for Chronic Rhinosinusitis Assessment: Correlation With Quality of Life Outcomes.

American journal of rhinology & allergy Jan 17, 2025
BackgroundComputed tomography (CT) plays a crucial role in assessing chronic rhinosinusitis, but lacks objective quantifiable indicators.ObjectiveThis study aimed to use deep learning for automated sinus segmentation to generate distinct quantitative...
Deep Learning Sinusitis Rhinitis Chronic Disease Rhinosinusitis Male Middle Aged Quality of Life Severity of Illness Index Paranasal Sinuses Humans Tomography, X-Ray Computed Female Aged Adult
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Severity grading of hypertensive retinopathy using hybrid deep learning architecture.

Computer methods and programs in biomedicine Jan 15, 2025
BACKGROUND AND OBJECTIVES: Hypertensive Retinopathy (HR) is a retinal manifestation resulting from persistently elevated blood pressure. Severity grading of HR is essential for patient risk stratification, effective management, progression monitoring...
Hypertensive Retinopathy Humans Algorithms Artificial Intelligence Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning
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Machine-learning-assisted Preoperative Prediction of Pediatric Appendicitis Severity.

Journal of pediatric surgery Jan 13, 2025
PURPOSE: This study evaluates the effectiveness of machine learning (ML) algorithms for improving the preoperative diagnosis of acute appendicitis in children, focusing on the accurate prediction of the severity of disease.
Humans Machine Learning Algorithms Child, Preschool Child Retrospective Studies Predictive Value of Tests Female Appendicitis Male Appendectomy Severity of Illness Index Adolescent
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Diagnostic accuracy in coronary CT angiography analysis: artificial intelligence versus human assessment.

Open heart Jan 11, 2025
BACKGROUND: Visual assessment of coronary CT angiography (CCTA) is time-consuming, influenced by reader experience and prone to interobserver variability. This study evaluated a novel algorithm for coronary stenosis quantification (atherosclerosis im...
Computed Tomography Angiography Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Observer Variation Coronary Vessels Algorithms Retrospective Studies Female Humans Reproducibility of Results Artificial Intelligence Aged Male Middle Aged Severity of Illness Index Predictive Value of Tests Coronary Angiography
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