AIMC Topic: Reference Standards

Clear Filters Showing 61 to 70 of 120 articles

Leveraging Electronic Dental Record Data to Classify Patients Based on Their Smoking Intensity.

Methods of information in medicine Mar 15, 2019
BACKGROUND: Smoking is an established risk factor for oral diseases and, therefore, dental clinicians routinely assess and record their patients' detailed smoking status. Researchers have successfully extracted smoking history from electronic health ...
Humans Practice Guidelines as Topic Machine Learning Smoking Electronic Health Records Reference Standards
View on PubMed DOI

Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning.

Nature biomedical engineering Mar 4, 2019
The histological analysis of tissue samples, widely used for disease diagnosis, involves lengthy and laborious tissue preparation. Here, we show that a convolutional neural network trained using a generative adversarial-network model can transform wi...
Humans Neural Networks, Computer Algorithms Lung Staining and Labeling Reference Standards Fluorescence Liver Melanins Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Streamlining Quality Review of Mass Spectrometry Data in the Clinical Laboratory by Use of Machine Learning.

Archives of pathology & laboratory medicine Feb 20, 2019
CONTEXT.—: Turnaround time and productivity of clinical mass spectrometric (MS) testing are hampered by time-consuming manual review of the analytical quality of MS data before release of patient results.
Dronabinol Reference Standards Clinical Laboratory Techniques Machine Learning Algorithms Mass Spectrometry Automation, Laboratory Retrospective Studies Humans Gas Chromatography-Mass Spectrometry Reproducibility of Results
View on PubMed DOI

Qualitative versus quantitative lumbar spinal stenosis grading by machine learning supported texture analysis-Experience from the LSOS study cohort.

European journal of radiology Feb 19, 2019
PURPOSE: To investigate and compare the reproducibility and accuracy of qualitative ratings and quantitative texture analysis (TA) in detection and grading of lumbar spinal stenosis (LSS) in magnetic resonance imaging (MR) scans of the lumbar spine.
Humans Machine Learning Algorithms Aged, 80 and over Male Middle Aged Cohort Studies Outcome Assessment, Health Care Female Observer Variation Reproducibility of Results Aged Reference Standards Magnetic Resonance Imaging Lumbar Vertebrae Spinal Stenosis
View on PubMed DOI

The practical implementation of artificial intelligence technologies in medicine.

Nature medicine Jan 7, 2019
The development of artificial intelligence (AI)-based technologies in medicine is advancing rapidly, but real-world clinical implementation has not yet become a reality. Here we review some of the key practical issues surrounding the implementation o...
Social Control, Formal Medicine United States Reference Standards Artificial Intelligence Algorithms Humans
View on PubMed DOI

Using a Deep Learning Algorithm and Integrated Gradients Explanation to Assist Grading for Diabetic Retinopathy.

Ophthalmology Dec 13, 2018
PURPOSE: To understand the impact of deep learning diabetic retinopathy (DR) algorithms on physician readers in computer-assisted settings.
ROC Curve Reference Standards Photography Ophthalmologists Male Diabetic Retinopathy Diagnosis, Computer-Assisted Algorithms Deep Learning Humans Female Reproducibility of Results Sensitivity and Specificity
View on PubMed DOI

Development of a sandwich ELISA for determining plasma prolactin concentration in domestic birds.

Domestic animal endocrinology Nov 24, 2018
The present study was conducted to establish a sandwich ELISA for the determination of prolactin (PRL) concentrations in the plasma of domestic fowls. The assay uses a recombinant goose PRL as the reference standard, expressed in a eukaryotic system,...
Prolactin Female Ducks Chickens Reproducibility of Results Poultry Reference Standards Antibodies Enzyme-Linked Immunosorbent Assay Animals Geese Recombinant Proteins Rabbits Reproduction
View on PubMed DOI

Detecting Evidence of Intra-abdominal Surgical Site Infections from Radiology Reports Using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
Free-text reports in electronic health records (EHRs) contain medically significant information - signs, symptoms, findings, diagnoses - recorded by clinicians during patient encounters. These reports contain rich clinical information which can be le...
Vocabulary, Controlled Datasets as Topic Reference Standards Radiology Information Systems Abdomen Humans Natural Language Processing Radiography Machine Learning Surgical Wound Infection Electronic Health Records
View on PubMed

Grader Variability and the Importance of Reference Standards for Evaluating Machine Learning Models for Diabetic Retinopathy.

Ophthalmology Mar 13, 2018
PURPOSE: Use adjudication to quantify errors in diabetic retinopathy (DR) grading based on individual graders and majority decision, and to train an improved automated algorithm for DR grading.
Humans Diabetic Retinopathy ROC Curve Mass Screening Reference Standards Ophthalmologists Female Male Machine Learning Middle Aged Algorithms Clinical Competence Retrospective Studies
View on PubMed DOI

Identifying term relations cross different gene ontology categories.

BMC bioinformatics Dec 28, 2017
BACKGROUND: The Gene Ontology (GO) is a community-based bioinformatics resource that employs ontologies to represent biological knowledge and describes information about gene and gene product function. GO includes three independent categories: molecu...
Gene Regulatory Networks Computational Biology Reference Standards Saccharomyces cerevisiae Gene Ontology Algorithms ROC Curve
View on PubMed DOI
Popular Topics
Recent Journals