AIMC Topic: Severity of Illness Index

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AI-Based Quantitative CT Analysis of Temporal Changes According to Disease Severity in COVID-19 Pneumonia.

Journal of computer assisted tomography May 13, 2025
OBJECTIVE: To quantitatively evaluate computed tomography (CT) parameters of coronavirus disease 2019 (COVID-19) pneumonia an artificial intelligence (AI)-based software in different clinical severity groups during the disease course.
Evaluation Studies as Topic Radiographic Image Interpretation, Computer-Assisted Time Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Male Middle Aged Lung Severity of Illness Index Retrospective Studies Adolescent Humans Tomography, X-Ray Computed Artificial Intelligence Female COVID-19 Reproducibility of Results SARS-CoV-2
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Interpretable artificial intelligence model for predicting heart failure severity after acute myocardial infarction.

BMC cardiovascular disorders May 12, 2025
BACKGROUND: Heart failure (HF) after acute myocardial infarction (AMI) is a leading cause of mortality and morbidity worldwide. Accurate prediction and early identification of HF severity are crucial for initiating preventive measures and optimizing ...
Female Reproducibility of Results Risk Factors Aged Male Middle Aged Risk Assessment Severity of Illness Index Deep Learning Predictive Value of Tests Humans Artificial Intelligence Machine Learning Decision Support Techniques Prognosis Myocardial Infarction Heart Failure
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Risk factors and predictive models for post-operative moderate-to-severe mitral regurgitation following transcatheter aortic valve replacement: a machine learning approach.

BMC cardiovascular disorders May 10, 2025
BACKGROUND: Post-operative moderate-to-severe mitral regurgitation (MR) following transcatheter aortic valve replacement (TAVR) is associated with poor outcomes, yet the factors contributing to this complication are not well understood. This study ai...
Risk Assessment Female Predictive Value of Tests Severity of Illness Index Risk Factors Humans Mitral Valve Time Factors Aged Machine Learning Mitral Valve Insufficiency Treatment Outcome Aged, 80 and over Decision Support Techniques Transcatheter Aortic Valve Replacement Aortic Valve Stenosis Male Retrospective Studies
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Radiomics prediction of surgery in ulcerative colitis refractory to medical treatment.

Techniques in coloproctology May 10, 2025
BACKGROUND: The surgeries in drug-resistant ulcerative colitis are determined by complex factors. This study evaluated the predictive performance of radiomics analysis on the basis of whether patients with ulcerative colitis in hospital were in the s...
Male Middle Aged Humans Severity of Illness Index Predictive Value of Tests Retrospective Studies Nomograms Tomography, X-Ray Computed Rectum Colitis, Ulcerative Female Adult Radiomics
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Machine learning-based prediction of 90-day prognosis and in-hospital mortality in hemorrhagic stroke patients.

Scientific reports May 9, 2025
This study aims to predict hemorrhagic stroke outcomes, including 90-day prognosis and in-hospital mortality, using machine learning models and SHapley Additive exPlanations (SHAP) analysis. Data were collected from a national Stroke Registry from Ja...
Severity of Illness Index Hospital Mortality Registries Stroke Hemorrhagic Stroke Female Aged Aged, 80 and over Male Middle Aged Humans Machine Learning Prognosis
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Deep Learning Study of Alkaptonuria Spinal Disease Assesses Global and Regional Severity and Detects Occult Treatment Status.

Journal of inherited metabolic disease May 1, 2025
Deep learning (DL) is increasingly used to analyze medical imaging, but is less refined for rare conditions, which require novel pre-processing and analytical approaches. To assess DL in the context of rare diseases, this study focused on alkaptonuri...
Severity of Illness Index Deep Learning Radiography Spinal Diseases Alkaptonuria Humans Female Adult Male Middle Aged
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Utility of AI digital pathology as an aid for pathologists scoring fibrosis in MASH.

Journal of hepatology May 1, 2025
BACKGROUND & AIMS: Intra and inter-pathologist variability poses a significant challenge in metabolic dysfunction-associated steatohepatitis (MASH) biopsy evaluation, leading to suboptimal selection of patients and confounded assessment of histologic...
Liver Cirrhosis Liver Multicenter Studies as Topic Humans Biopsy Randomized Controlled Trials as Topic Artificial Intelligence Pathologists Clinical Trials, Phase II as Topic Reproducibility of Results Cross-Over Studies Severity of Illness Index Observer Variation Fatty Liver
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Non-invasive physiological assessment of intermediate coronary stenoses from plain angiography through artificial intelligence: the STARFLOW system.

European heart journal. Quality of care & clinical outcomes May 1, 2025
BACKGROUND: Despite evidence supporting use of fractional flow reserve (FFR) and instantaneous waves-free ratio (iFR) to improve outcome of patients undergoing coronary angiography (CA) and percutaneous coronary intervention, such techniques are stil...
Severity of Illness Index Predictive Value of Tests Coronary Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Artificial Intelligence Female Aged Male Middle Aged Humans
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Predictive analytics for early detection of hospital-acquired complications: An artificial intelligence approach.

Health information management : journal of the Health Information Management Association of Australia May 1, 2025
BACKGROUND: Hospital-acquired complications (HACs) have an adverse impact on patient recovery by impeding their path to full recovery and increasing healthcare costs.
Machine Learning Retrospective Studies Intensive Care Units Female Aged Humans Artificial Intelligence Severity of Illness Index Length of Stay Logistic Models Operative Time Decision Trees Aged, 80 and over Adult Male Middle Aged Risk Assessment Early Diagnosis Cross Infection Western Australia Iatrogenic Disease Predictive Learning Models
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Automatic GRBAS Scoring of Pathological Voices using Deep Learning and a Small Set of Labeled Voice Data.

Journal of voice : official journal of the Voice Foundation May 1, 2025
OBJECTIVES: Auditory-perceptual evaluation frameworks, such as the grade-roughness-breathiness-asthenia-strain (GRBAS) scale, are the gold standard for the quantitative evaluation of pathological voice quality. However, the evaluation is subjective; ...
Voice Disorders Speech Production Measurement Voice Quality Severity of Illness Index Deep Learning Time Factors Predictive Value of Tests Signal Processing, Computer-Assisted Acoustics Observer Variation Automation Judgment Speech Acoustics Neural Networks, Computer Female Reproducibility of Results Adult Male Humans
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