AIMC Topic: Severity of Illness Index

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Natural Language Processing Improves Detection of Nonsevere Hypoglycemia in Medical Records Versus Coding Alone in Patients With Type 2 Diabetes but Does Not Improve Prediction of Severe Hypoglycemia Events: An Analysis Using the Electronic Medical Record in a Large Health System.

Diabetes care May 15, 2020
OBJECTIVE: To determine if natural language processing (NLP) improves detection of nonsevere hypoglycemia (NSH) in patients with type 2 diabetes and no NSH documentation by diagnosis codes and to measure if NLP detection improves the prediction of fu...
Humans Algorithms Electronic Health Records Female Male Middle Aged Severity of Illness Index Diabetes Mellitus, Type 2 United States Aged Aged, 80 and over Young Adult Adult International Classification of Diseases Community Health Planning Clinical Decision Rules Predictive Value of Tests Natural Language Processing Hypoglycemia Information Storage and Retrieval
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Automating three-dimensional osteoarthritis histopathological grading of human osteochondral tissue using machine learning on contrast-enhanced micro-computed tomography.

Osteoarthritis and cartilage May 11, 2020
OBJECTIVE: To develop and validate a machine learning (ML) approach for automatic three-dimensional (3D) histopathological grading of osteochondral samples imaged with contrast-enhanced micro-computed tomography (CEμCT).
X-Ray Microtomography Tibia Femur Osteoarthritis, Knee Cartilage, Articular Humans Imaging, Three-Dimensional Contrast Media Arthroplasty, Replacement, Knee Machine Learning Severity of Illness Index
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Variability in Plus Disease Identified Using a Deep Learning-Based Retinopathy of Prematurity Severity Scale.

Ophthalmology. Retina May 4, 2020
PURPOSE: Retinopathy of prematurity is a leading cause of childhood blindness worldwide, but clinical diagnosis is subjective, which leads to treatment differences. Our goal was to determine objective differences in the diagnosis of plus disease betw...
Humans Male Severity of Illness Index Deep Learning Gestational Age Retinopathy of Prematurity Algorithms Retrospective Studies Female Infant, Newborn
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Artificial Intelligence to Stratify Severity of Age-Related Macular Degeneration (AMD) and Predict Risk of Progression to Late AMD.

Translational vision science & technology Apr 24, 2020
PURPOSE: To build and validate artificial intelligence (AI)-based models for AMD screening and for predicting late dry and wet AMD progression within 1 and 2 years.
Humans Artificial Intelligence Machine Learning Severity of Illness Index Fundus Oculi Wet Macular Degeneration
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Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

PloS one Apr 16, 2020
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
Blindness Deep Learning Choroidal Neovascularization ROC Curve Male Humans Image Interpretation, Computer-Assisted Mass Screening Retinoschisis Middle Aged Female Datasets as Topic Diagnosis, Differential Myopia Choroid Aged Macula Lutea Severity of Illness Index Adult Tomography, Optical Coherence
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Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.

Neuroradiology Apr 13, 2020
PURPOSE: Severity of white matter lesion (WML) is typically evaluated on magnetic resonance images (MRI), yet the more accessible, faster, and less expensive method is computed tomography (CT). Our objective was to study whether WML can be automatica...
Humans Neural Networks, Computer Software Severity of Illness Index Tomography, X-Ray Computed Magnetic Resonance Imaging Imaging, Three-Dimensional Female Image Interpretation, Computer-Assisted Aged Leukoaraiosis Male
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Automated quantification and architectural pattern detection of hepatic fibrosis in NAFLD.

Annals of diagnostic pathology Apr 12, 2020
Accurate detection and quantification of hepatic fibrosis remain essential for assessing the severity of non-alcoholic fatty liver disease (NAFLD) and its response to therapy in clinical practice and research studies. Our aim was to develop an integr...
Organ Dysfunction Scores Eosine Yellowish-(YS) Methyl Green Humans Artificial Intelligence Severity of Illness Index Image Processing, Computer-Assisted Automation Biopsy Non-alcoholic Fatty Liver Disease Portal Vein Pathologists Fibrosis Practice Patterns, Physicians' Liver Cirrhosis Supervised Machine Learning Azo Compounds Clinical Trials as Topic Liver Collagen
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Deep learning prediction of falls among nursing home residents with Alzheimer's disease.

Geriatrics & gerontology international Apr 8, 2020
AIM: This study aimed to use a convolutional neural network (CNN) to investigate the associations between the time of falling and multiple complicating factors, including age, dementia severity, lower extremity strength and physical function, among n...
Alzheimer Disease Nursing Homes Homes for the Aged Mental Status and Dementia Tests Prospective Studies Cohort Studies Female Lower Extremity Risk Factors Muscle Strength Aged Severity of Illness Index Geriatric Assessment Humans Aged, 80 and over Deep Learning Accidental Falls Male
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Artificial Intelligence in the Intensive Care Unit.

Critical care (London, England) Mar 24, 2020
This article is one of ten reviews selected from the Annual Update in Intensive Care and Emergency Medicine 2020. Other selected articles can be found online at https://www.biomedcentral.com/collections/annualupdate2020. Further information about the...
Artificial Intelligence Decision Support Techniques Intensive Care Units Severity of Illness Index Humans
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Deep Learning-Based Algorithm for Detecting Aortic Stenosis Using Electrocardiography.

Journal of the American Heart Association Mar 21, 2020
Background Severe, symptomatic aortic stenosis (AS) is associated with poor prognoses. However, early detection of AS is difficult because of the long asymptomatic period experienced by many patients, during which screening tools are ineffective. The...
Aortic Valve Predictive Value of Tests Signal Processing, Computer-Assisted Early Diagnosis Severity of Illness Index Deep Learning Reproducibility of Results Humans Electrocardiography Aged Aortic Valve Stenosis Aged, 80 and over Retrospective Studies Male Republic of Korea Middle Aged Female
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