AIMC Topic: Severity of Illness Index

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Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale.

Ophthalmology Oct 27, 2020
PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applyin...
Severity of Illness Index Humans Deep Learning Retinopathy of Prematurity Follow-Up Studies Retinal Vessels Algorithms Gestational Age Retrospective Studies Ophthalmoscopy Infant, Newborn
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Automatic Detection and Scoring of Kidney Stones on Noncontrast CT Images Using S.T.O.N.E. Nephrolithometry: Combined Deep Learning and Thresholding Methods.

Molecular imaging and biology Oct 27, 2020
PURPOSE: To develop and validate a deep learning and thresholding-based model for automatic kidney stone detection and scoring according to S.T.O.N.E. nephrolithometry.
Predictive Value of Tests Area Under Curve Pattern Recognition, Automated Kidney Calculi Tomography, X-Ray Computed Severity of Illness Index Female Humans Deep Learning Algorithms Aged Imaging, Three-Dimensional Male Retrospective Studies Contrast Media Middle Aged
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Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.

BMC medical informatics and decision making Oct 27, 2020
BACKGROUND: Severe sepsis and septic shock are among the leading causes of death in the United States and sepsis remains one of the most expensive conditions to diagnose and treat. Accurate early diagnosis and treatment can reduce the risk of adverse...
Time Factors Hospital Mortality Decision Support Systems, Clinical Predictive Value of Tests Datasets as Topic Humans Reproducibility of Results Machine Learning Algorithms Time-to-Treatment Male Forecasting Severity of Illness Index Retrospective Studies Sepsis Intensive Care Units Female
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Central Reading of Ulcerative Colitis Clinical Trial Videos Using Neural Networks.

Gastroenterology Oct 21, 2020
BACKGROUND AND AIMS: Endoscopic disease activity scoring in ulcerative colitis (UC) is useful in clinical practice but done infrequently. It is required in clinical trials, where it is expensive and slow because human central readers are needed. A ma...
Prospective Studies Female Aged Young Adult Adult Male Middle Aged Colon Colonoscopy Humans Antibodies, Monoclonal, Humanized Video Recording Colitis, Ulcerative Severity of Illness Index Image Interpretation, Computer-Assisted Intestinal Mucosa Deep Learning Observer Variation Adolescent Predictive Value of Tests Treatment Outcome Feasibility Studies
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Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network.

International journal of environmental research and public health Oct 14, 2020
A better understanding of circumstances contributing to the severity outcome of traffic crashes is an important goal of road safety studies. An in-depth crash injury severity analysis is vital for the proactive implementation of appropriate mitigatio...
Neural Networks, Computer Algorithms Risk Factors Severity of Illness Index Saudi Arabia Humans Logistic Models Accidents, Traffic Wounds and Injuries
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Clinical and laboratory data, radiological structured report findings and quantitative evaluation of lung involvement on baseline chest CT in COVID-19 patients to predict prognosis.

La Radiologia medica Oct 12, 2020
OBJECTIVE: To evaluate by means of regression models the relationships between baseline clinical and laboratory data and lung involvement on baseline chest CT and to quantify the thoracic disease using an artificial intelligence tool and a visual sco...
Female SARS-CoV-2 Aged Aged, 80 and over Adult Artificial Intelligence COVID-19 Prognosis Tomography, X-Ray Computed Pneumonia, Viral Male Middle Aged Severity of Illness Index Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Humans
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Evaluation of a genetic risk score for severity of COVID-19 using human chromosomal-scale length variation.

Human genomics Oct 9, 2020
INTRODUCTION: The course of COVID-19 varies from asymptomatic to severe in patients. The basis for this range in symptoms is unknown. One possibility is that genetic variation is partly responsible for the highly variable response. We evaluated how w...
Humans Machine Learning Pandemics COVID-19 Betacoronavirus Pneumonia, Viral Case-Control Studies Coronavirus Infections Datasets as Topic Algorithms Chromosome Aberrations SARS-CoV-2 Chromosomes, Human Risk Factors Severity of Illness Index
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Large-Scale Multi-omic Analysis of COVID-19 Severity.

Cell systems Oct 8, 2020
We performed RNA-seq and high-resolution mass spectrometry on 128 blood samples from COVID-19-positive and COVID-19-negative patients with diverse disease severities and outcomes. Quantified transcripts, proteins, metabolites, and lipids were associa...
Neutrophils Humans Principal Component Analysis Machine Learning Inflammation Mediators Middle Aged COVID-19 Gelsolin Severity of Illness Index Female Cohort Studies Aged Sequence Analysis, RNA Aged, 80 and over Male
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Machine learning integration of scleroderma histology and gene expression identifies fibroblast polarisation as a hallmark of clinical severity and improvement.

Annals of the rheumatic diseases Oct 7, 2020
OBJECTIVE: We sought to determine histologic and gene expression features of clinical improvement in early diffuse cutaneous systemic sclerosis (dcSSc; scleroderma).
Collagen Actins Clinical Trials as Topic Forearm Scleroderma, Diffuse Fibroblasts Gene Expression Skin Antigens, CD34 Humans Female Machine Learning Adult Male Middle Aged Severity of Illness Index
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Machine learning-based analysis of adolescent gambling factors.

Journal of behavioral addictions Oct 3, 2020
BACKGROUND AND AIMS: Problem gambling among adolescents has recently attracted attention because of easy access to gambling in online environments and its serious effects on adolescent lives. We proposed a machine learning-based analysis method for p...
Adolescent Health Surveys Support Vector Machine Humans Adolescent Behavior Machine Learning Gambling Female Male Severity of Illness Index
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