AIMC Topic: Severity of Illness Index

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Interpretable machine learning model integrating clinical and elastosonographic features to detect renal fibrosis in Asian patients with chronic kidney disease.

Journal of nephrology Feb 5, 2024
BACKGROUND: Non-invasive renal fibrosis assessment is critical for tailoring personalized decision-making and managing follow-up in patients with chronic kidney disease (CKD). We aimed to exploit machine learning algorithms using clinical and elastos...
Female Aged Adult Male Humans Machine Learning Prospective Studies Biopsy Asian People Fibrosis Elasticity Imaging Techniques Middle Aged Severity of Illness Index Kidney Renal Insufficiency, Chronic
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The association between vitamin D deficiency and the clinical outcomes of hospitalized COVID-19 patients.

F1000Research Feb 5, 2024
BACKGROUND: Vitamin D deficiency is an emerging public health problem that affects more than one billion people worldwide. Vitamin D has been shown to be effective in preventing and reducing the severity of viral respiratory diseases, including influ...
Cardiovascular Diseases Humans COVID-19 Severity of Illness Index Vitamin D Prospective Studies Vitamin D Deficiency
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COPD: artificial intelligence detects and quantifies anomalies on chest CT enabling prediction of disease severity.

European radiology Jan 23, 2024
Humans Artificial Intelligence Tomography, X-Ray Computed Pulmonary Disease, Chronic Obstructive Severity of Illness Index Radiography, Thoracic
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Non-invasive fractional flow reserve estimation using deep learning on intermediate left anterior descending coronary artery lesion angiography images.

Scientific reports Jan 20, 2024
This study aimed to design an end-to-end deep learning model for estimating the value of fractional flow reserve (FFR) using angiography images to classify left anterior descending (LAD) branch angiography images with average stenosis between 50 and ...
Predictive Value of Tests Coronary Angiography Coronary Artery Disease Coronary Vessels Retrospective Studies Severity of Illness Index Deep Learning Coronary Stenosis Fractional Flow Reserve, Myocardial Humans
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Time-domain heart rate dynamics in the prognosis of progressive atherosclerosis.

Nutrition, metabolism, and cardiovascular diseases : NMCD Jan 14, 2024
BACKGROUND AND AIM: The regular uptake of a high-fat diet (HFD) with changing lifestyle causes atherosclerosis leading to cardiovascular diseases and autonomic dysfunction. Therefore, the current study aimed to investigate the correlation of autonomi...
Autonomic Nervous System Lipids Predictive Value of Tests Atherosclerosis Heart Rate Electrocardiography Support Vector Machine Diet, High-Fat Risk Factors Adult Male Middle Aged Disease Progression Severity of Illness Index Humans Case-Control Studies Biomarkers Time Factors Prognosis Female
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A perspective on the evolution of semi-quantitative MRI assessment of osteoarthritis: Past, present and future.

Osteoarthritis and cartilage Jan 10, 2024
OBJECTIVE: This perspective describes the evolution of semi-quantitative (SQ) magnetic resonance imaging (MRI) in characterizing structural tissue pathologies in osteoarthritis (OA) imaging research over the last 30 years.
Reproducibility of Results Severity of Illness Index Magnetic Resonance Imaging Knee Joint Humans Artificial Intelligence Osteoarthritis, Knee
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Deep Learning Algorithm of the SPARCC Scoring System in SI Joint MRI.

Journal of magnetic resonance imaging : JMRI Jan 2, 2024
BACKGROUND: The Spondyloarthritis Research Consortium of Canada (SPARCC) scoring system is a sacroiliitis grading system.
Spondylarthritis Prospective Studies Canada Male Humans Magnetic Resonance Imaging Female Middle Aged Algorithms Sacroiliac Joint Severity of Illness Index Reproducibility of Results Deep Learning Sacroiliitis Adult
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Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT.

European radiology Dec 27, 2023
OBJECTIVES: To quantify regional manifestations related to COPD as anomalies from a modeled distribution of normal-appearing lung on chest CT using a deep learning (DL) approach, and to assess its potential to predict disease severity.
Severity of Illness Index Predictive Value of Tests Pulmonary Disease, Chronic Obstructive Humans Deep Learning Tomography, X-Ray Computed Cohort Studies Male Female Middle Aged Aged Lung
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Artificial Intelligence-Based Emphysema Quantification in Routine Chest Computed Tomography: Correlation With Spirometry and Visual Emphysema Grading.

Journal of computer assisted tomography Dec 18, 2023
OBJECTIVE: The aim of the study is to assess the correlation between artificial intelligence (AI)-based low attenuation volume percentage (LAV%) with forced expiratory volume in the first second to forced vital capacity (FEV1/FVC) and visual emphysem...
Female Aged Adult Male Middle Aged Humans Lung Pulmonary Emphysema Severity of Illness Index Artificial Intelligence Radiography, Thoracic Forced Expiratory Volume Retrospective Studies Spirometry Tomography, X-Ray Computed
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Predicting treatment response using machine learning: A registered report.

The British journal of clinical psychology Dec 18, 2023
OBJECTIVE: Previous research on psychotherapy treatment response has mainly focused on outpatients or clinical trial data which may have low ecological validity regarding naturalistic inpatient samples. To reduce treatment failures by proactively scr...
Psychotherapy Humans Outcome Assessment, Health Care Machine Learning Pre-Registration Publication Female Aged Middle Aged Young Adult Severity of Illness Index Adult Treatment Outcome Male Inpatients
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