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Reference Standards

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Reflex and reflective laboratory interventions for adding value to test results; an integral part of laboratory stewardship.

Clinical biochemistry
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 ...

Intensity standardization of MRI prior to radiomic feature extraction for artificial intelligence research in glioma-a systematic review.

European radiology
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 ...

Quality of reporting of randomised controlled trials of artificial intelligence in healthcare: a systematic review.

BMJ open
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.

Standardization of Artificial Intelligence Development in Radiotherapy.

Seminars in radiation oncology
Application of Artificial Intelligence (AI) tools has recently gained interest in the fields of medical imaging and radiotherapy. Even though there have been many papers published in these domains in the last few years, clinical assessment of the pro...

[Exploration and practice of artificial intelligence assisted primary vision health management].

Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]
It has attracted much attention worldwide that the application of artificial intelligence (AI) in primary screening and clinical diagnosis and treatment of eye diseases. In recent years, this technology has also been widely used in various grass-root...

Effects of Expert-Determined Reference Standards in Evaluating the Diagnostic Performance of a Deep Learning Model: A Malignant Lung Nodule Detection Task on Chest Radiographs.

Korean journal of radiology
OBJECTIVE: Little is known about the effects of using different expert-determined reference standards when evaluating the performance of deep learning-based automatic detection (DLAD) models and their added value to radiologists. We assessed the conc...

High-Speed On-Site Deep Learning-Based FFR-CT Algorithm: Evaluation Using Invasive Angiography as the Reference Standard.

AJR. American journal of roentgenology
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...

Standardization of robotic right liver mobilization.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Since its introduction 2 decades ago, robotics has been increasingly used for resection of benign and malignant liver lesions. The robotic platform seems to preserve minimally invasive approach benefits, overcoming laparoscopy limitations...