AIMC Topic: Severity of Illness Index

Clear Filters Showing 811 to 820 of 896 articles

Deep learning for prediction of fractional flow reserve from resting coronary pressure curves.

EuroIntervention : journal of EuroPCR in collaboration with the Working Group on Interventional Cardiology of the European Society of Cardiology May 17, 2021
BACKGROUND: It would be ideal for a non-hyperaemic index to predict fractional flow reserve (FFR) more accurately, given FFR's extensive validation in a multitude of clinical settings.
Humans Coronary Angiography Coronary Vessels Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Artificial Intelligence Reproducibility of Results Severity of Illness Index Deep Learning Predictive Value of Tests
View on PubMed DOI

Deep learning enabled classification of Mayo endoscopic subscore in patients with ulcerative colitis.

European journal of gastroenterology & hepatology May 1, 2021
OBJECTIVE: Previous reports of deep learning-assisted assessment of Mayo endoscopic subscore (MES) in ulcerative colitis have only explored the ability to distinguish disease remission (MES 0/1) from severe disease (MES 2/3) or inactive disease (MES ...
Deep Learning ROC Curve Colitis, Ulcerative Intestinal Mucosa Humans Retrospective Studies Colonoscopy Severity of Illness Index
View on PubMed DOI

High-dimensional profiling clusters asthma severity by lymphoid and non-lymphoid status.

Cell reports Apr 13, 2021
Clinical definitions of asthma fail to capture the heterogeneity of immune dysfunction in severe, treatment-refractory disease. Applying mass cytometry and machine learning to bronchoalveolar lavage (BAL) cells, we find that corticosteroid-resistant ...
Humans Receptors, IgE CD8-Positive T-Lymphocytes CD4-Positive T-Lymphocytes Gene Expression Regulation Interferon-gamma Bronchoalveolar Lavage Fluid Adrenal Cortex Hormones Anti-Asthmatic Agents Adaptive Immunity Immunologic Memory Interleukin-7 Machine Learning Gene Expression Profiling Interleukin-10 Case-Control Studies Proteomics Signal Transduction Macrophages Immunity, Innate Asthma Severity of Illness Index
View on PubMed DOI

The clinical classification of patients with COVID-19 pneumonia was predicted by Radiomics using chest CT.

Medicine Mar 26, 2021
In 2020, the new type of coronal pneumonitis became a pandemic in the world, and has firstly been reported in Wuhan, China. Chest CT is a vital component in the diagnostic algorithm for patients with suspected or confirmed COVID-19 infection. Therefo...
Image Processing, Computer-Assisted Age Factors Predictive Value of Tests COVID-19 Tomography, X-Ray Computed Female SARS-CoV-2 Aged Adult Male Middle Aged Lung Severity of Illness Index Humans Machine Learning
View on PubMed DOI

Accurate classification of COVID-19 patients with different severity via machine learning.

Clinical and translational medicine Mar 1, 2021
SARS-CoV-2 Male Severity of Illness Index Humans Machine Learning COVID-19 Female
View on PubMed DOI

Applications of Artificial Intelligence for Retinopathy of Prematurity Screening.

Pediatrics Mar 1, 2021
OBJECTIVES: Childhood blindness from retinopathy of prematurity (ROP) is increasing as a result of improvements in neonatal care worldwide. We evaluate the effectiveness of artificial intelligence (AI)-based screening in an Indian ROP telemedicine pr...
Retrospective Studies Female Infant, Newborn Sensitivity and Specificity Male Humans Artificial Intelligence Linear Models Gestational Age Retinopathy of Prematurity Hospital Units Severity of Illness Index ROC Curve India Oxygen Telemedicine
View on PubMed DOI

The Auto-eFACE: Machine Learning-Enhanced Program Yields Automated Facial Palsy Assessment Tool.

Plastic and reconstructive surgery Feb 1, 2021
BACKGROUND: Facial palsy assessment is nonstandardized. Clinician-graded scales are limited by subjectivity and observer bias. Computer-aided grading would be desirable to achieve conformity in facial palsy assessment and to compare the effectiveness...
Humans Adult Machine Learning Facial Asymmetry Software Disability Evaluation Male Photography Female Synkinesis Middle Aged Feasibility Studies Aged Severity of Illness Index Facial Paralysis Aged, 80 and over Diagnosis, Computer-Assisted Datasets as Topic Young Adult Face
View on PubMed DOI

Low Predictability of Readmissions and Death Using Machine Learning in Cirrhosis.

The American journal of gastroenterology Feb 1, 2021
INTRODUCTION: Readmission and death in cirrhosis are common, expensive, and difficult to predict. Our aim was to evaluate the abilities of multiple artificial intelligence (AI) techniques to predict clinical outcomes based on variables collected at a...
Anti-Bacterial Agents Female Reproducibility of Results Aged Male Middle Aged Severity of Illness Index Cohort Studies ROC Curve Logistic Models Humans Machine Learning Infections Liver Cirrhosis beta-Lactams Hepatic Encephalopathy Support Vector Machine Adrenergic beta-Antagonists Gastrointestinal Agents Paracentesis Kidney Diseases Clinical Decision Rules Mortality Hydrothorax Water-Electrolyte Imbalance End Stage Liver Disease Lactulose Ascites Patient Readmission Rifaximin Gastrointestinal Hemorrhage Proton Pump Inhibitors
View on PubMed DOI

Development of a Complication- and Treatment-Aware Prediction Model for Favorable Functional Outcome in Aneurysmal Subarachnoid Hemorrhage Based on Machine Learning.

Neurosurgery Jan 13, 2021
BACKGROUND: Current prognostic tools in aneurysmal subarachnoid hemorrhage (aSAH) are constrained by being primarily based on patient and disease characteristics on admission.
Recovery of Function Switzerland Machine Learning Humans Prognosis Subarachnoid Hemorrhage Middle Aged Female Severity of Illness Index Aged Cohort Studies Adult Models, Theoretical Longitudinal Studies
View on PubMed DOI

Relevance of Complaint Severity in Predicting the Progression of Subjective Cognitive Decline and Mild Cognitive Impairment: A Machine Learning Approach.

Journal of Alzheimer's disease : JAD Jan 1, 2021
BACKGROUND: The presence of subjective cognitive complaints (SCCs) is a core criterion for diagnosis of subjective cognitive decline (SCD); however, no standard procedure for distinguishing normative and non-normative SCCs has yet been established.
Cognitive Dysfunction Follow-Up Studies Humans Aged, 80 and over Predictive Value of Tests Machine Learning Male Diagnostic Self Evaluation Female Middle Aged Aged Disease Progression Severity of Illness Index
View on PubMed DOI
Popular Topics
Recent Journals