AIMC Topic: Reference Standards
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High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.
AJR. American journal of roentgenology
May 3, 2023
Estimation of fractional flow reserve from coronary CTA (FFR-CT) is an established method of assessing the hemodynamic significance of coronary lesions. However, clinical implementation has progressed slowly, partly because of off-site data transfer...
Deep Learning
Predictive Value of Tests
Coronary Angiography
Aged
Male
Middle Aged
Computed Tomography Angiography
Coronary Stenosis
Fractional Flow Reserve, Myocardial
Constriction, Pathologic
Coronary Artery Disease
Humans
Reference Standards
Algorithms
Retrospective Studies
Female
Reproducibility of Results
Quality of reporting of randomised controlled trials of artificial intelligence in healthcare: a systematic review.
BMJ open
Sep 5, 2022
OBJECTIVES: The aim of this study was to evaluate the quality of reporting of randomised controlled trials (RCTs) of artificial intelligence (AI) in healthcare against Consolidated Standards of Reporting Trials-AI (CONSORT-AI) guidelines.
Promoting Transparency and Standardization in Ophthalmologic Artificial Intelligence: A Call for Artificial Intelligence Model Card.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
May 1, 2022
Intensity standardization of MRI prior to radiomic feature extraction for artificial intelligence research in glioma-a systematic review.
European radiology
Apr 29, 2022
OBJECTIVES: Radiomics is a promising avenue in non-invasive characterisation of diffuse glioma. Clinical translation is hampered by lack of reproducibility across centres and difficulty in standardising image intensity in MRI datasets. The study aim ...
Although depth prediction of colorectal cancer with artificial intelligence is clinically relevant, standardization of histopathologic diagnosis should also be taken care of.
Gastrointestinal endoscopy
Mar 29, 2022
Reflex and reflective laboratory interventions for adding value to test results; an integral part of laboratory stewardship.
Clinical biochemistry
Mar 18, 2022
Post-analytical reflexive (automated) and/or reflective (patient tailored and thought driven) interventions (PARRI), have played a subsidiary role in many diagnostic laboratories, despite mounting evidence of their clinical value. The ever-pervasive ...
A novel method for micropollutant quantification using deep learning and multi-objective optimization.
Water research
Jan 15, 2022
Micropollutants (MPs) released into aquatic ecosystems have adverse effects on public health. Hence, monitoring and managing MPs in aquatic systems are imperative. MPs can be quantified by high-resolution mass spectrometry (HRMS) with stable isotope-...
Robotic high-throughput biomanufacturing and functional differentiation of human pluripotent stem cells.
Stem cell reports
Dec 2, 2021
Efficient translation of human induced pluripotent stem cells (hiPSCs) requires scalable cell manufacturing strategies for optimal self-renewal and functional differentiation. Traditional manual cell culture is variable and labor intensive, posing ch...
Chemometric analysis in Raman spectroscopy from experimental design to machine learning-based modeling.
Nature protocols
Nov 5, 2021
Raman spectroscopy is increasingly being used in biology, forensics, diagnostics, pharmaceutics and food science applications. This growth is triggered not only by improvements in the computational and experimental setups but also by the development ...
Pivotal Evaluation of an Artificial Intelligence System for Autonomous Detection of Referrable and Vision-Threatening Diabetic Retinopathy.
JAMA network open
Nov 1, 2021
IMPORTANCE: Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Early detection and intervention can prevent blindness; however, many patients do not receive their recommended annual diabetic eye examinations, primarily owi...
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