AIMC Topic: Young Adult

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A large-scale internal validation study of unsupervised virtual trichrome staining technologies on nonalcoholic steatohepatitis liver biopsies.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Dec 9, 2020
Non-alcoholic steatohepatitis (NASH) is a fatty liver disease characterized by accumulation of fat in hepatocytes with concurrent inflammation and is associated with morbidity, cirrhosis and liver failure. After extraction of a liver core biopsy, tis...
Microscopy Azo Compounds Image Interpretation, Computer-Assisted Eosine Yellowish-(YS) Hematoxylin Methyl Green Liver Predictive Value of Tests Biopsy Non-alcoholic Fatty Liver Disease Coloring Agents Severity of Illness Index Adolescent Child Staining and Labeling Liver Cirrhosis Decision Support Techniques Retrospective Studies Clinical Decision-Making Female Reproducibility of Results Humans Aged Neural Networks, Computer Aged, 80 and over Software Young Adult Adult Male Middle Aged
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XGBoost Model for Chronic Kidney Disease Diagnosis.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
Chronic Kidney Disease (CKD) is a menace that is affecting 10 percent of the world population and 15 percent of the South African population. The early and cheap diagnosis of this disease with accuracy and reliability will save 20,000 lives in South ...
Middle Aged Diagnosis, Computer-Assisted Adolescent Child, Preschool Reproducibility of Results Child Humans Decision Support Systems, Clinical Aged Artificial Intelligence Renal Insufficiency, Chronic Aged, 80 and over Algorithms Models, Statistical Young Adult Adult
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Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists.

European journal of radiology Dec 5, 2020
PURPOSE: To compare deep learning with radiologists when diagnosing uterine cervical cancer on a single T2-weighted image.
Retrospective Studies Female Aged Humans Neural Networks, Computer Deep Learning Aged, 80 and over Radiologists Young Adult Adult Uterine Cervical Neoplasms Middle Aged
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Continuous and automatic mortality risk prediction using vital signs in the intensive care unit: a hybrid neural network approach.

Scientific reports Dec 4, 2020
Mortality risk prediction can greatly improve the utilization of resources in intensive care units (ICUs). Existing schemes in ICUs today require laborious manual input of many complex parameters. In this work, we present a scheme that uses variation...
Male Middle Aged Risk Assessment Adolescent Hospital Mortality Female Aged Aged, 80 and over Young Adult Adult Patient Acuity Vital Signs Humans Neural Networks, Computer Algorithms Intensive Care Units
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Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning.

IEEE journal of biomedical and health informatics Dec 4, 2020
The choroid provides oxygen and nourishment to the outer retina thus is related to the pathology of various ocular diseases. Optical coherence tomography (OCT) is advantageous in visualizing and quantifying the choroid in vivo. However, its applicati...
Young Adult Adult Deep Learning Adolescent Image Processing, Computer-Assisted Choroid Humans Glaucoma Prospective Studies Tomography, Optical Coherence Image Interpretation, Computer-Assisted
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Simultaneous Diagnosis of Severity and Features of Diabetic Retinopathy in Fundus Photography Using Deep Learning.

IEEE journal of biomedical and health informatics Dec 4, 2020
Deep learning methods for diabetic retinopathy (DR) diagnosis are usually criticized as being lack of interpretability in the diagnostic result, thus limiting their application in clinic. Simultaneous prediction of DR related features during the DR s...
Middle Aged Deep Learning Adolescent Child ROC Curve Image Interpretation, Computer-Assisted Photography Aged Aged, 80 and over Young Adult Humans Adult Diabetic Retinopathy Male Female
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UD-MIL: Uncertainty-Driven Deep Multiple Instance Learning for OCT Image Classification.

IEEE journal of biomedical and health informatics Dec 4, 2020
Deep learning has achieved remarkable success in the optical coherence tomography (OCT) image classification task with substantial labelled B-scan images available. However, obtaining such fine-grained expert annotations is usually quite difficult an...
Macular Edema Image Interpretation, Computer-Assisted Deep Learning Adolescent Tomography, Optical Coherence Retina Supervised Machine Learning Diabetic Retinopathy Young Adult Adult Humans
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Long Short-Term Memory Networks for Unconstrained Sleep Stage Classification Using Polyvinylidene Fluoride Film Sensor.

IEEE journal of biomedical and health informatics Dec 4, 2020
Sleep stage scoring is the first step towards quantitative analysis of sleep using polysomnography (PSG) recordings. However, although PSG is a gold standard method for assessing sleep, it is obtrusive and difficult to apply for long-term sleep monit...
Humans Neural Networks, Computer Machine Learning Retrospective Studies Middle Aged Female Adolescent Young Adult Signal Processing, Computer-Assisted Adult Male Polyvinyls Polysomnography Sleep Stages
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Interaction between hypotension and age on adrenal crisis diagnosis.

Endocrinology, diabetes & metabolism Dec 2, 2020
OBJECTIVE: To determine whether adrenal crisis (AC) identification may be affected by the definition of hypotension.
Adolescent Blood Pressure Determination Age Factors Adrenal Insufficiency Blood Pressure Young Adult Hypotension Humans Adult Retrospective Studies Delayed Diagnosis Female Male Aged Cardiovascular Diseases Aged, 80 and over Middle Aged
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A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi.

Journal of dermatological science Dec 2, 2020
BACKGROUND: Timely recognition of malignant melanoma (MM) is challenging for dermatologists worldwide and represents the main determinant for mortality. Dermoscopic examination is influenced by dermatologists' experience and fails to achieve adequate...
Female Child Infant, Newborn Diagnosis, Differential Melanoma Middle Aged Skin Skin Neoplasms Infant Image Interpretation, Computer-Assisted Dermoscopy Deep Learning Datasets as Topic Reproducibility of Results Adolescent Child, Preschool Aged Humans Nevus Aged, 80 and over Retrospective Studies Young Adult Adult Male
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