AIMC Topic: Severity of Illness Index

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An artificial intelligence-driven scoring system to measure histological disease activity in ulcerative colitis.

United European gastroenterology journal Apr 8, 2024
BACKGROUND AND AIMS: Assessment and scoring of histological images in Ulcerative colitis (UC) is prone to inter- and intra-observer variability. This study aimed to investigate whether an artificial intelligence (AI) system developed using image proc...
Colitis, Ulcerative Image Interpretation, Computer-Assisted Observer Variation Artificial Intelligence Machine Learning Algorithms Female Reproducibility of Results Male Colon Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Humans
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Mo-fi-disc scoring system: Towards understanding the radiological tools to better delineate the disease process and enhancing our solutions for low back pain in artificial intelligence era.

Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association Apr 3, 2024
BACKGROUND: 'Mo-fi-disc' is a new scoring system that quantifies degeneration of the lumbar spine and predicts the intensity of low back pain (LBP). However, its association with LBP-related disability is unknown. In the present study, we aimed to an...
Artificial Intelligence Pain Measurement Prospective Studies Cross-Sectional Studies Female Male Disability Evaluation Aged Humans Middle Aged Lumbar Vertebrae Adult Severity of Illness Index Intervertebral Disc Degeneration Magnetic Resonance Imaging Low Back Pain
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Validation of a fully automated deep learning-enabled solution for CCTA atherosclerotic plaque and stenosis quantification in a diverse real-world cohort.

Journal of cardiovascular computed tomography Mar 28, 2024
Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Deep Learning Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Humans Coronary Artery Disease Coronary Stenosis Retrospective Studies Automation Female Coronary Vessels Plaque, Atherosclerotic Computed Tomography Angiography
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Predicting the onset of end-stage knee osteoarthritis over two- and five-years using machine learning.

Seminars in arthritis and rheumatism Mar 16, 2024
OBJECTIVE: Identifying participants who will progress to advanced stage in knee osteoarthritis (KOA) trials remains a significant challenge. Current tools, relying on total knee replacements (TKR), fall short in reliability due to the extraneous fact...
Aged Male Middle Aged Humans Disease Progression Osteoarthritis, Knee Machine Learning Severity of Illness Index Female Reproducibility of Results
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Automatic hip osteoarthritis grading with uncertainty estimation from computed tomography using digitally-reconstructed radiographs.

International journal of computer assisted radiology and surgery Mar 12, 2024
PURPOSE: Progression of hip osteoarthritis (hip OA) leads to pain and disability, likely leading to surgical treatment such as hip arthroplasty at the terminal stage. The severity of hip OA is often classified using the Crowe and Kellgren-Lawrence (K...
Deep Learning Osteoarthritis, Hip Uncertainty Male Middle Aged Disease Progression Severity of Illness Index Humans Tomography, X-Ray Computed Female Aged
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Diagnostic performance of deep learning to exclude coronary stenosis on CT angiography in TAVI patients.

The international journal of cardiovascular imaging Mar 10, 2024
We evaluated the diagnostic performance of a deep-learning model (DLM) (CorEx®, Spimed-AI, Paris, France) designed to automatically detect > 50% coronary stenosis on coronary computed tomography angiography (CCTA) images. We studied inter-observer va...
Coronary Vessels False Positive Reactions Multidetector Computed Tomography Computed Tomography Angiography Coronary Stenosis Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Observer Variation Transcatheter Aortic Valve Replacement Female Reproducibility of Results Aged Aged, 80 and over Male Severity of Illness Index Deep Learning Aortic Valve Stenosis Aortic Valve Humans Retrospective Studies
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Prognosis of COVID-19 severity using DERGA, a novel machine learning algorithm.

European journal of internal medicine Mar 8, 2024
It is important to determine the risk for admission to the intensive care unit (ICU) in patients with COVID-19 presenting at the emergency department. Using artificial neural networks, we propose a new Data Ensemble Refinement Greedy Algorithm (DERGA...
Algorithms Prognosis Intensive Care Units Female SARS-CoV-2 Humans Neural Networks, Computer Machine Learning COVID-19 Severity of Illness Index Neutrophils Ferritins Aged L-Lactate Dehydrogenase Adult Male Middle Aged
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Residual facial erythema in atopic dermatitis patients treated with dupilumab stratified by machine learning.

Journal of the European Academy of Dermatology and Venereology : JEADV Feb 26, 2024
BACKGROUND: Persistent facial erythema represents a significant complication in atopic dermatitis (AD) patients undergoing treatment with dupilumab. Stratifying patients based on the erythema course is crucial for elucidating heterogeneous phenotypes...
Antibodies, Monoclonal, Humanized Face L-Lactate Dehydrogenase Dermatitis, Atopic Humans Machine Learning Retrospective Studies Female Young Adult Adult Male Middle Aged Severity of Illness Index Leukocyte Count Facial Dermatoses Erythema
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Classification of anatomic patterns of peripheral artery disease with automated machine learning (AutoML).

Vascular Feb 25, 2024
AIM: The aim of this study was to investigate the potential of novel automated machine learning (AutoML) in vascular medicine by developing a discriminative artificial intelligence (AI) model for the classification of anatomical patterns of periphera...
Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Automation Femoral Artery Angiography Decision Support Techniques Reproducibility of Results Severity of Illness Index Peripheral Arterial Disease Humans Machine Learning Popliteal Artery
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The Intersections of COVID-19, HIV, and Race/Ethnicity: Machine Learning Methods to Identify and Model Risk Factors for Severe COVID-19 in a Large U.S. National Dataset.

AIDS and behavior Feb 7, 2024
We investigate risk factors for severe COVID-19 in persons living with HIV (PWH), including among racialized PWH, using the U.S. population-sampled National COVID Cohort Collaborative (N3C) data released from January 1, 2020 to October 10, 2022. We d...
Ethnicity Racial Groups Comorbidity Severity of Illness Index Risk Factors HIV Infections Aged United States Adult Male Middle Aged Humans Machine Learning COVID-19 Female
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