Health Policy

Mammography Image Quality Assurance Using Deep Learning.

OBJECTIVE: According to the European Reference Organization for Quality Assured Breast Cancer Screen...

Adapting a Low-Cost and Open-Source Commercial Pipetting Robot for Nanoliter Liquid Handling.

Low-volume liquid handling capabilities in bioanalytical workflows can dramatically improve sample p...

Machine learning in cardiovascular radiology: ESCR position statement on design requirements, quality assessment, current applications, opportunities, and challenges.

Machine learning offers great opportunities to streamline and improve clinical care from the perspec...

The image quality of deep-learning image reconstruction of chest CT images on a mediastinal window setting.

AIM: To assess the image quality of deep-learning image reconstruction (DLIR) of chest computed tomo...

Automated estimation of echocardiogram image quality in hospitalized patients.

We developed a machine learning model for efficient analysis of echocardiographic image quality in h...

On the use of AI for Generation of Functional Music to Improve Mental Health.

Increasingly music has been shown to have both physical and mental health benefits including improve...

Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements.

OBJECTIVES: The aim of this study was to develop an artificial intelligence tool to assess echocardi...

Enforcing Quality in Strain Imaging Through AI-Powered Surveillance.

Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.

Background CT deep learning reconstruction (DLR) algorithms have been developed to remove image nois...

Machine Learning and Improved Quality Metrics in Acute Intracranial Hemorrhage by Noncontrast Computed Tomography.

OBJECTIVE: The timely reporting of critical results in radiology is paramount to improved patient ou...

Use of Receiver Operating Curve Analysis and Machine Learning With an Independent Dose Calculation System Reduces the Number of Physical Dose Measurements Required for Patient-Specific Quality Assurance.

PURPOSE: Our purpose was to assess the use of machine learning methods and Mobius 3D (M3D) dose calc...

A deep learning framework for quality assessment and restoration in video endoscopy.

Endoscopy is a routine imaging technique used for both diagnosis and minimally invasive surgical tre...

Assessing the impact of semen quality on embryo development in an egg donation model.

OBJECTIVE: To investigate if any of the World Health Organization semen parameters and/or male age a...

Cherry Tomato Production in Intelligent Greenhouses-Sensors and AI for Control of Climate, Irrigation, Crop Yield, and Quality.

Greenhouses and indoor farming systems play an important role in providing fresh and nutritious food...

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.

The Coronavirus Disease 2019 (COVID-19) pandemic continues to have a devastating effect on the healt...

Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques.

INTRODUCTION: Studies addressing the development and/or validation of diagnostic and prognostic pred...

Application of artificial neural networks to predict multiple quality of dry-cured ham based on protein degradation.

This study investigated protein degradation and quality changes during the processing of dry-cured h...

Canadian Association of Radiologists White Paper on De-identification of Medical Imaging: Part 2, Practical Considerations.

The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithm...

Canadian Association of Radiologists White Paper on De-Identification of Medical Imaging: Part 1, General Principles.

The application of big data, radiomics, machine learning, and artificial intelligence (AI) algorithm...

Five thousand years of minimal access surgery: 3000BC to 1850: early instruments for viewing body cavities.

Surgeons and their patients recognise that one of the major advances in surgical technique over the ...

Single image super-resolution via Image Quality Assessment-Guided Deep Learning Network.

In recent years, deep learning (DL) networks have been widely used in super-resolution (SR) and exhi...