AIMC Topic: Reference Standards

Clear Filters Showing 31 to 40 of 120 articles

An objective structural and functional reference standard in glaucoma.

Scientific reports Jan 18, 2021
The current lack of consensus for diagnosing glaucoma makes it difficult to develop diagnostic tests derived from deep learning (DL) algorithms. In the present study, we propose an objective definition of glaucomatous optic neuropathy (GON) using cle...
Humans Male Middle Aged Deep Learning Glaucoma Algorithms Female Optic Nerve Diseases ROC Curve Reference Standards Tomography, Optical Coherence Photography Fundus Oculi
View on PubMed DOI

Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.

Osteoarthritis and cartilage Jan 8, 2021
OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep learning.
Regenerative Medicine Automation Cartilage Supervised Machine Learning Regeneration Quality Control Humans Indicators and Reagents Tissue Engineering Neural Networks, Computer Rosaniline Dyes Reference Standards Young Adult Chondrogenesis Phenazines Adult Middle Aged Deep Learning
View on PubMed DOI

Identifying cardiomegaly in chest X-rays: a cross-sectional study of evaluation and comparison between different transfer learning methods.

Acta radiologica (Stockholm, Sweden : 1987) Nov 17, 2020
BACKGROUND: Cardiomegaly is a relatively common incidental finding on chest X-rays; if left untreated, it can result in significant complications. Using Artificial Intelligence for diagnosing cardiomegaly could be beneficial, as this pathology may be...
Cardiomegaly Datasets as Topic Reference Standards Radiography, Thoracic Logistic Models Predictive Value of Tests Feasibility Studies Algorithms Sensitivity and Specificity Cross-Sectional Studies Humans Artificial Intelligence Machine Learning
View on PubMed DOI

PCLiON: An Ontology for Data Standardization and Sharing of Prostate Cancer Associated Lifestyles.

International journal of medical informatics Nov 7, 2020
BACKGROUND: Researches on Lifestyle medicine (LM) have emerged in recent years to garner wide attention. Prostate cancer (PCa) could be prevented and treated by positive lifestyles, but the association between lifestyles and PCa is always personalize...
Reference Standards Life Style Prostatic Neoplasms Systematized Nomenclature of Medicine Biological Ontologies Humans Male
View on PubMed DOI

Replacing the internal standard to estimate micropollutants using deep and machine learning.

Water research Oct 19, 2020
Similar to the worldwide proliferation of urbanization, micropollutants have been involved in aquatic and ecological environmental systems. These pollutants have the propensity to wreak havoc on human health and the ecological system; hence, it is im...
Humans Neural Networks, Computer Machine Learning Support Vector Machine Isotopes Reference Standards
View on PubMed DOI

Designing an openEHR-Based Pipeline for Extracting and Standardizing Unstructured Clinical Data Using Natural Language Processing.

Methods of information in medicine Oct 14, 2020
BACKGROUND: Merging disparate and heterogeneous datasets from clinical routine in a standardized and semantically enriched format to enable a multiple use of data also means incorporating unstructured data such as medical free texts. Although the ext...
Natural Language Processing Data Mining Reference Standards Electronic Health Records Pilot Projects Decision Support Systems, Clinical
View on PubMed DOI

Editorial Comment on "Liver Steatosis Categorization on Contrast-Enhanced CT Using a Fully Automated Deep Learning Volumetric Segmentation Tool: Evaluation in 1204 Healthy Adults Using Unenhanced CT as a Reference Standard".

AJR. American journal of roentgenology Sep 30, 2020
Deep Learning Fatty Liver Reference Standards Humans Tomography, X-Ray Computed Adult
View on PubMed DOI

REPLY: THE STANDARDIZATION AND AUTOMATION OF MACHINE LEARNING FOR BIOMEDICAL DATA.

The Journal of thoracic and cardiovascular surgery Aug 28, 2020
Patient Readmission Humans Automation Machine Learning Reference Standards
View on PubMed DOI

Machine learning-based prediction of acute coronary syndrome using only the pre-hospital 12-lead electrocardiogram.

Nature communications Aug 7, 2020
Prompt identification of acute coronary syndrome is a challenge in clinical practice. The 12-lead electrocardiogram (ECG) is readily available during initial patient evaluation, but current rule-based interpretation approaches lack sufficient accurac...
Acute Coronary Syndrome Databases as Topic Reference Standards Humans Hospitals Female Machine Learning ROC Curve Male Algorithms Electrocardiography Middle Aged
View on PubMed DOI

Deep Learning Approach for Anterior Cruciate Ligament Lesion Detection: Evaluation of Diagnostic Performance Using Arthroscopy as the Reference Standard.

Journal of magnetic resonance imaging : JMRI Jul 26, 2020
BACKGROUND: MRI is the most commonly used imaging method for diagnosing anterior cruciate ligament (ACL) injuries. However, the interpretation of knee MRI is time-intensive and depends on the clinical experience of the reader. An automated detection ...
Arthroscopy Reference Standards Anterior Cruciate Ligament Injuries Sensitivity and Specificity Anterior Cruciate Ligament Humans Deep Learning Retrospective Studies Magnetic Resonance Imaging Reproducibility of Results
View on PubMed DOI
Popular Topics
Recent Journals