Radiology and Imaging

Low-dose CT screening important in reducing lung cancer deaths

About 1.6 million people die of lung cancer each year, making it the leading cause of cancer-related deaths in the world. The poor outcomes... Read more

Fat-suppressed T2-weighted MR imaging demonstrates distal retraction of proximal rectus femoris muscle (arrows).

Imaging plays key role in evaluating injuries at Olympics

Athletes prepare for years and train hard to be able to compete in the Olympic Games. It's such a big disappointment when an injury occurs and... Read more

Segmentation of lesions in an organ using machine learning techniques, from a CT-scan image (left), performed by a convolutional neural network architecture (center) and manually (right).

Deep-learning technique identifies and segments tumours

A new deep-learning algorithm can be used to identify and segment tumours in medical images. Developed by AI researchers in Canada, the software... Read more

Thousands of optical coherence tomographs (OCT) form the iris and pupil of a human eye. OCTs are a non-invasive scan commonly used in clinics to diagnose diabetic retinopathy and macular degeneration.

Faster diagnosis of eye diseases with AI, machine learning

A new computational tool that uses artificial intelligence (AI) and machine learning (ML) can be used to screen patients with common retinal... Read more

Breast MRI technique increases cancer detection

A new study published online in the journal Radiology shows that a new MRI breast imaging technique, developed by German researchers, could... Read more

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Blog Posts

Head radiologist provides feedback on department’s three-year use of the Hologic Selenia® Dimensions® 3D Mammography™ System In an exclusive interview with HealthManagement.org, Dr. Annie Philippou Papoutsou explains how the implementation of Hologic’s Selenia® Dimensions® 3D Mammography™ System has helped radiologists to detect more cancers,... Read more

The National Health Service (NHS) was created to provide medical care for all, free at the point of use. Now 70 years old, it is a national treasure under intense strain, battling to provide the best modern medicine to an ever-growing, ageing UK population.   Both radiology and clinical oncology are vital to the health service. Most patient diagnoses... Read more

The radiology department has transformed from a unit of collaboration to one that focuses on interpretation, and in order to regain past values, an efficient harmony between IT and humans needs to be achieved. As radiologists we have to be valued for not just interpreting images. I have been around the world giving talks, and I seen radiology... Read more

White Papers and Case Studies

IMAGING Management

Computer-Aided Diagnosis for Breast Ultrasound

2016 23 Jul

Samsung Applies Deep Learning from Big Data in World-First The Samsung RS80A with Prestige premium ultrasound device now includes S-Detect™, which applies deep learning to breast lesion analysis using ultrasound. Background   Breast ultrasound can be hard to read and interpret and the reader may experience fatigue and attention lapses.... Read more

IMAGING Management

Telemedicine – a new model for pre-hospital ultrasound?

2017 28 Nov

FUJIFILM SonoSite’s M-Turbo point-of-care (POC) ultrasound systems will soon be providing pre-hospital diagnostics across the Scottish Highlands as part of the innovative SatCare trial. This study aims to combine POC ultrasound and advanced communications to enable remote image interpretation and decision making for a range of time-critical conditions.... Read more

IMAGING Management

Regional Healthcare Initiatives in the UK: An Opportunity For Silo-Busting & Integrated Diagnostics

2017 02 May

Health authorities in the UK are developing regional initiatives to make significant improvement to health and care. The needs look beyond departmental and organizational boundaries, focusing on the needs of the local population.[1] (These initiatives are called STPs, sustainability and transformational plans). In this article, Chris Scarisbrick,... Read more

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