AIMC Topic: Severity of Illness Index

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Deep Convolutional Neural Network for Automated Staging of Periodontal Bone Loss Severity on Bite-wing Radiographs: An Eigen-CAM Explainability Mapping Approach.

Journal of imaging informatics in medicine Aug 15, 2024
Periodontal disease is a significant global oral health problem. Radiographic staging is critical in determining periodontitis severity and treatment requirements. This study aims to automatically stage periodontal bone loss using a deep learning app...
Neural Networks, Computer Female Adult Humans Convolutional Neural Networks Male Alveolar Bone Loss Middle Aged Severity of Illness Index Deep Learning
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Definition and Validation of Prognostic Phenotypes in Moderate Aortic Stenosis.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Adverse outcomes from moderate aortic stenosis (AS) may be caused by progression to severe AS or by the effects of comorbidities. In the absence of randomized trial evidence favoring aortic valve replacement (AVR) in patients with moderat...
Risk Assessment Comorbidity Severity of Illness Index Time Factors Aged, 80 and over Male Echocardiography Middle Aged Predictive Value of Tests Heart Failure Cluster Analysis Aortic Valve Stenosis Aortic Valve Unsupervised Machine Learning Humans Reproducibility of Results Phenotype Risk Factors Aged Prognosis Female
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An Automated Machine Learning-Based Quantitative Multiparametric Approach for Mitral Regurgitation Severity Grading.

JACC. Cardiovascular imaging Aug 14, 2024
BACKGROUND: Considering the high prevalence of mitral regurgitation (MR) and the highly subjective, variable MR severity reporting, an automated tool that could screen patients for clinically significant MR (≥ moderate) would streamline the diagnosti...
Humans Machine Learning Prognosis Feasibility Studies Mitral Valve Mitral Valve Insufficiency Image Interpretation, Computer-Assisted Automation Middle Aged Severity of Illness Index Predictive Value of Tests Workflow Female Reproducibility of Results Aged Male
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High-Throughput Deep Learning Detection of Mitral Regurgitation.

Circulation Aug 12, 2024
BACKGROUND: Diagnosis of mitral regurgitation (MR) requires careful evaluation by echocardiography with Doppler imaging. This study presents the development and validation of a fully automated deep learning pipeline for identifying apical 4-chamber v...
Severity of Illness Index Deep Learning Mitral Valve Mitral Valve Insufficiency Echocardiography, Doppler, Color Aged Male Echocardiography Middle Aged Humans Female
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CMM: A CNN-MLP Model for COVID-19 Lesion Segmentation and Severity Grading.

IEEE/ACM transactions on computational biology and bioinformatics Aug 9, 2024
In this paper, a CNN-MLP model (CMM) is proposed for COVID-19 lesion segmentation and severity grading in CT images. The CMM starts by lung segmentation using UNet, and then segmenting the lesion from the lung region using a multi-scale deep supervis...
Deep Learning Tomography, X-Ray Computed Radiographic Image Interpretation, Computer-Assisted SARS-CoV-2 Lung Severity of Illness Index Humans Neural Networks, Computer COVID-19 Algorithms
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Development of an artificial intelligence-based algorithm for predicting the severity of myxomatous mitral valve disease from thoracic radiographs by using two grading systems.

Research in veterinary science Aug 8, 2024
A heart-convolutional neural network (heart-CNN) was designed and tested for the automatic classification of chest radiographs in dogs affected by myxomatous mitral valve disease (MMVD) at different stages of disease severity. A retrospective and mul...
Mitral Valve Insufficiency Radiography, Thoracic Algorithms Retrospective Studies Female Animals Severity of Illness Index Dogs Dog Diseases Male Echocardiography Neural Networks, Computer Artificial Intelligence
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Optimization of the automated Sunnybrook Facial Grading System - Improving the reliability of a deep learning network with facial landmarks.

European annals of otorhinolaryngology, head and neck diseases Aug 7, 2024
OBJECTIVE: The Sunnybrook Facial Grading System (SFGS) is a well-established grading system to assess the severity and progression of a unilateral facial palsy. The automation of the SFGS makes the SFGS more accessible for researchers, students, clin...
Anatomic Landmarks Facial Paralysis Face Male Middle Aged Severity of Illness Index Deep Learning Female Reproducibility of Results Adult Humans
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Contrastive machine learning reveals Parkinson's disease specific features associated with disease severity and progression.

Communications biology Aug 7, 2024
Parkinson's disease (PD) exhibits heterogeneity in terms of symptoms and prognosis, likely due to diverse neuroanatomical alterations. This study employs a contrastive deep learning approach to analyze Magnetic Resonance Imaging (MRI) data from 932 P...
Humans Aged Male Middle Aged Disease Progression Severity of Illness Index Machine Learning Biomarkers Brain Female Deep Learning Magnetic Resonance Imaging Parkinson Disease
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New insights on hidradenitis suppurativa phenotypes and treatment response: An exploratory automated analysis of the SUNSHINE and SUNRISE trials.

Journal of the European Academy of Dermatology and Venereology : JEADV Aug 5, 2024
BACKGROUND: Defining hidradenitis suppurativa (HS) subtypes was previously limited by small sample sizes and poor interrater reliability; no study has investigated subtype treatment responses. The objective of this analysis was to characterize HS clu...
Humans Phenotype Female Treatment Outcome Antibodies, Monoclonal, Humanized Cluster Analysis Dermatologic Agents Hidradenitis Suppurativa Adult Male Middle Aged Severity of Illness Index
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Development of machine learning models for fractional flow reserve prediction in angiographically intermediate coronary lesions.

Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions Aug 1, 2024
BACKGROUND: Fractional flow reserve (FFR) represents the gold standard in guiding the decision to proceed or not with coronary revascularization of angiographically intermediate coronary lesion (AICL). Optical coherence tomography (OCT) allows to car...
Coronary Stenosis Fractional Flow Reserve, Myocardial Supervised Machine Learning Coronary Vessels Plaque, Atherosclerotic Cardiac Catheterization Reproducibility of Results Aged Male Middle Aged Tomography, Optical Coherence Coronary Angiography Coronary Artery Disease Severity of Illness Index Predictive Value of Tests Software Decision Support Techniques Databases, Factual Female Humans
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