AIMC Topic: Severity of Illness Index
Clear Filters Showing 681 to 690 of 851 articles
Deep learning for echocardiographic assessment and risk stratification of aortic, mitral, and tricuspid regurgitation: the DELINEATE-regurgitation study.
European heart journal
Jul 21, 2025
BACKGROUND AND AIMS: Classification and risk stratification in aortic (AR), mitral (MR), and tricuspid regurgitation (TR) remains a significant clinical challenge. This study aimed to develop an artificial intelligence (AI) system to assess valvular ...
Digital Pathology Quantification of the Continuum of Cirrhosis Severity in Human Liver Biopsies.
Liver international : official journal of the International Association for the Study of the Liver
Jul 1, 2025
BACKGROUND AND AIMS: Liver biopsy is the gold standard for assessing fibrosis in cirrhotic livers, yet cirrhosis is spatially heterogeneous and continuously remodels. This study evaluates a novel phenotypic digital pathology platform for continuous f...
Integration of Metabolomics, Lipidomics, and Machine Learning for Developing a Biomarker Panel to Distinguish the Severity of Metabolic-Associated Fatty Liver Disease.
Biomedical chromatography : BMC
Jul 1, 2025
Metabolic-associated fatty liver disease (MAFLD), a global health challenge linked to metabolic syndrome, requires accurate severity stratification for clinical management. Current invasive diagnostic methods limit practical implementation. This stud...
A Deep Learning Model Based on High-Frequency Ultrasound Images for Classification of Different Stages of Liver Fibrosis.
Liver international : official journal of the International Association for the Study of the Liver
Jul 1, 2025
BACKGROUND AND AIMS: To develop a deep learning model based on high-frequency ultrasound images to classify different stages of liver fibrosis in chronic hepatitis B patients.
Deployment of an Artificial Intelligence Histology Tool to Aid Qualitative Assessment of Histopathology Using the Nancy Histopathology Index in Ulcerative Colitis.
Inflammatory bowel diseases
Jun 13, 2025
BACKGROUND: Ulcerative colitis (UC) is a chronic inflammatory bowel disease characterized by increased stool frequency, rectal bleeding, and urgency. To streamline the quantitative assessment of histopathology using the Nancy Index in UC patients, we...
Enhanced slime mould algorithm with chaotic and orthogonal optimization-based learning for improved severity prediction accuracy in malaria patient outcomes.
Computers in biology and medicine
Jun 1, 2025
Malaria remains a critical health challenge in developing countries, particularly in Africa, where it disproportionately affects vulnerable populations. Accurate malaria severity prediction is important for proper treatment and improved patient survi...
Coronary artery disease severity and location detection using deep-mining-based magnetocardiography pattern features.
Computer methods and programs in biomedicine
Jun 1, 2025
BACKGROUND AND OBJECTIVE: The objective of this study was to develop an automated, accurate method of assessing coronary artery disease (CAD), including its severity and location, using deep-mining-based magnetocardiography (MCG) pattern features.
Automated Deep Learning Phenotyping of Tricuspid Regurgitation in Echocardiography.
JAMA cardiology
Jun 1, 2025
IMPORTANCE: Accurate assessment of tricuspid regurgitation (TR) is necessary for identification and risk stratification.
Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory.
BMC medical imaging
May 30, 2025
OBJECTIVES: This study aims to develop an imaging-based machine learning model for evaluating the severity of ischemic stroke in the middle cerebral artery (MCA) territory.
CCTA-Derived coronary plaque burden offers enhanced prognostic value over CAC scoring in suspected CAD patients.
European heart journal. Cardiovascular Imaging
May 30, 2025
AIMS: To assess the prognostic utility of coronary artery calcium (CAC) scoring and coronary computed tomography angiography (CCTA)-derived quantitative plaque metrics for predicting adverse cardiovascular outcomes.
Middle Aged
Risk Assessment
Severity of Illness Index
Predictive Value of Tests
Coronary Angiography
Cause of Death
Coronary Artery Disease
Plaque, Atherosclerotic
Retrospective Studies
Proportional Hazards Models
Humans
Vascular Calcification
Female
Prognosis
Computed Tomography Angiography
Aged
Male
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