AIMC Topic: Severity of Illness Index

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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 Retrospective Studies Child, Preschool Child Predictive Value of Tests Appendicitis Appendectomy Female Male 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...
Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Retrospective Studies Humans Aged Artificial Intelligence Observer Variation Female Algorithms Coronary Vessels Male Reproducibility of Results Computed Tomography Angiography Middle Aged Coronary Stenosis Severity of Illness Index
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End-to-end deep-learning model for the detection of coronary artery stenosis on coronary CT images.

Open heart Jan 11, 2025
PURPOSE: We examined whether end-to-end deep-learning models could detect moderate (≥50%) or severe (≥70%) stenosis in the left anterior descending artery (LAD), right coronary artery (RCA) or left circumflex artery (LCX) in iodine contrast-enhanced ...
Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Humans Coronary Angiography Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Female Coronary Vessels Reproducibility of Results Male Aged Middle Aged Severity of Illness Index Deep Learning
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Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology.

The American journal of pathology Jan 10, 2025
Grading activity of inflammatory bowel disease (IBD) using standardized histopathological scoring systems remains challenging due to limited availability of pathologists with IBD expertise and interobserver variability. In this study, a deep learning...
Humans Inflammatory Bowel Diseases Male Middle Aged Colon Female Adult Severity of Illness Index Deep Learning
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Machine learning-based prediction model integrating ultrasound scores and clinical features for the progression to rheumatoid arthritis in patients with undifferentiated arthritis.

Clinical rheumatology Jan 10, 2025
OBJECTIVES: Predicting rheumatoid arthritis (RA) progression in undifferentiated arthritis (UA) patients remains a challenge. Traditional approaches combining clinical assessments and ultrasonography (US) often lack accuracy due to the complex intera...
Humans Machine Learning Prospective Studies Adult Random Forest Severity of Illness Index Feasibility Studies Ultrasonography Antirheumatic Agents Arthritis, Rheumatoid Joints Predictive Value of Tests Sensitivity and Specificity Male Middle Aged Disease Progression
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AI based medical imagery diagnosis for COVID-19 disease examination and remedy.

Scientific reports Jan 10, 2025
COVID-19, caused by the SARS-CoV-2 coronavirus, has spread to more than 200 countries, affecting millions, costing billions, and claiming nearly 2 million lives since late 2019. This highly contagious disease can easily overwhelm healthcare systems i...
COVID-19 Tomography, X-Ray Computed Humans SARS-CoV-2 Artificial Intelligence Severity of Illness Index
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Automated stenosis estimation of coronary angiographies using end-to-end learning.

The international journal of cardiovascular imaging Jan 9, 2025
The initial evaluation of stenosis during coronary angiography is typically performed by visual assessment. Visual assessment has limited accuracy compared to fractional flow reserve and quantitative coronary angiography, which are more time-consumin...
Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Male Middle Aged Severity of Illness Index Fractional Flow Reserve, Myocardial Coronary Artery Disease Automation Coronary Vessels Coronary Stenosis Retrospective Studies Female Reproducibility of Results Humans
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Predicting mortality after transcatheter aortic valve replacement using AI-based fully automated left atrioventricular coupling index.

Journal of cardiovascular computed tomography Jan 9, 2025
BACKGROUND: This study aimed to determine whether artificial intelligence (AI)-based automated assessment of left atrioventricular coupling index (LACI) can provide incremental value above other traditional risk factors for predicting mortality among...
Radiographic Image Interpretation, Computer-Assisted Automation Atrial Function, Left Computed Tomography Angiography Transcatheter Aortic Valve Replacement Artificial Intelligence Aortic Valve Stenosis Retrospective Studies Aortic Valve Female Predictive Value of Tests Risk Factors Coronary Angiography Male Risk Assessment Humans Ventricular Function, Left Severity of Illness Index Aged Stroke Volume Time Factors Aged, 80 and over Treatment Outcome
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Evaluation of Generative Artificial Intelligence Models in Predicting Pediatric Emergency Severity Index Levels.

Pediatric emergency care Jan 7, 2025
OBJECTIVE: Evaluate the accuracy and reliability of various generative artificial intelligence (AI) models (ChatGPT-3.5, ChatGPT-4.0, T5, Llama-2, Mistral-Large, and Claude-3 Opus) in predicting Emergency Severity Index (ESI) levels for pediatric eme...
Generative Artificial Intelligence Triage Emergency Service, Hospital Humans Sensitivity and Specificity Artificial Intelligence Male Female Severity of Illness Index Reproducibility of Results Child
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Gait-based Parkinson's disease diagnosis and severity classification using force sensors and machine learning.

Scientific reports Jan 2, 2025
A dual-stage model for classifying Parkinson's disease severity, through a detailed analysis of Gait signals using force sensors and machine learning approaches, is proposed in this study. Parkinson's disease is the primary neurodegenerative disorder...
Gait Female Middle Aged Aged Severity of Illness Index Male Case-Control Studies Humans Parkinson Disease Machine Learning
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