AIMC Topic: Quality Control
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Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function.
JACC. Cardiovascular imaging
Jul 17, 2019
OBJECTIVES: This study sought to develop a fully automated framework for cardiac function analysis from cardiac magnetic resonance (CMR), including comprehensive quality control (QC) algorithms to detect erroneous output.
Middle Aged
Diagnosis, Computer-Assisted
Deep Learning
Predictive Value of Tests
Reproducibility of Results
Male
Aged
Ventricular Function, Left
Humans
Stroke Volume
Quality Indicators, Health Care
Female
Quality Control
Automation
Heart Diseases
Magnetic Resonance Imaging, Cine
Image Interpretation, Computer-Assisted
Ventricular Function, Right
Imaging Quality Control in the Era of Artificial Intelligence.
Journal of the American College of Radiology : JACR
Jun 26, 2019
The advent of artificial intelligence (AI) promises to have a transformational impact on quality in medicine, including in radiology. However, experience has shown that quality tools alone are often not sufficient to bring about consistent excellent ...
Ontology-based metabolomics data integration with quality control.
Bioanalysis
Jun 10, 2019
The complications that arise when performing meta-analysis of datasets from multiple metabolomics studies are addressed with computational methods that ensure data quality, completeness of metadata and accurate interpretation across studies. This p...
Democratizing AI.
Journal of the American College of Radiology : JACR
May 16, 2019
Label-Free Identification of White Blood Cells Using Machine Learning.
Cytometry. Part A : the journal of the International Society for Analytical Cytology
May 13, 2019
White blood cell (WBC) differential counting is an established clinical routine to assess patient immune system status. Fluorescent markers and a flow cytometer are required for the current state-of-the-art method for determining WBC differential cou...
Importance of coding co-morbidities for APR-DRG assignment: Focus on cardiovascular and respiratory diseases.
Health information management : journal of the Health Information Management Association of Australia
May 1, 2019
BACKGROUND: The All Patient-Refined Diagnosis-Related Groups (APR-DRGs) system has adjusted the basic DRG structure by incorporating four severity of illness (SOI) levels, which are used for determining hospital payment. A comprehensive report of all...
Interactive biomedical ontology matching.
PloS one
Apr 17, 2019
Due to continuous evolution of biomedical data, biomedical ontologies are becoming larger and more complex, which leads to the existence of many overlapping information. To support semantic inter-operability between ontology-based biomedical systems,...
Simulation program of a cytotoxic compounding robot for monoclonal antibodies and anti-infectious sterile drug preparation.
Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners
Jan 16, 2019
The aim of this study was to develop a specific simulation program for the validation of a cytotoxic compounding robot, KIRO® Oncology, for the preparation of sterile monoclonal antibodies and anti-infectious drugs. The impact of excipient formulatio...
Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.
NeuroImage
Jan 8, 2019
Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in developmental studies. Currently, many studies rely on visual inspection by trained raters for quality ...
Dosimetric features-driven machine learning model for DVH prediction in VMAT treatment planning.
Medical physics
Jan 2, 2019
PURPOSE: Few features characterizing the dosimetric properties of the patients are included in currently available dose-volume histogram (DVH) prediction models, making it intractable to build a correlative relationship between the input and output p...
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