
News • Deep learning analysis of X-rays
AI used to triage patients with chest pain
Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study published in Radiology.

Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study published in Radiology.

Researchers from the University of Jyväskylä and the Central Finland Health Care District have developed an AI based neural network to detect an early knee osteoarthritis from x-ray images.

A promising new application for photon-counting CT: The new technology outperforms conventional CT in detecting subtle damage in the lungs of patients with persistent symptoms of Covid-19.

Multiparametric ultrasound will play an increasing role in imaging investigation and diagnosis as more subspecialities reap the benefits from the modality, Professor Paul Sidhu believes. The leading expert predicts that it will be more cost-effective and comfortable for patients and take point-of-care-testing onto a new level by embracing other parameters in the imaging process.

Tapping the thriving Radiology AI ecosystem, Bayer recently announced three collaboration agreements for its digital platform, Calantic Digital Solutions, as well as an AI accelerator program.

OpenRad announced at RSNA the launch of its enterprise remote reporting platform, which enables cloud-based reporting, collaborative workflows across companies and advanced mobile fleet management.

At the annual RSNA meeting in Chicago, Carestream launched a new series of digital X-ray detectors to help improve clinical outcomes, as well as enhancements to its existing product portfolio.

Using fluorodeoxyglucose positron emission tomography (FDG-PET) imaging may give insights into possible dose reductions in ongoing radiation therapy of head and neck cancer. A promising study to explore this option was presented at the 2022 ASTRO/ASCO Multidisciplinary Head and Cancer Symposium held in Phoenix, Arizona.

The need for breast cancer screening of transgender individuals has been a topic of uncertainty until recently, due to lack of reliable patient data, consensus by radiologists, published research, and recommended guidelines. A 2021 survey of Society of Breast Imaging (SBI) members revealed that ‘breast radiologists differ in their practice and knowledge regarding screening of transgender…

In radiology, it is not about if but about when artificial intelligence (AI) will be used, said Professor Dr Tim Leiner of Utrecht University Medical Center at this year’s European Congress of Radiology in Vienna. For all those who are new to AI, the Dutch radiologist gave an overview of the lessons he and his team have learnt so far.

Radiographers could help design new artificial intelligence (AI) tools for radiation protection, Mark McEntee, professor of diagnostic radiography at University College Cork, Ireland, argued during the annual EuSoMII meeting in October.

Using a special type of MRI, researchers have uncovered brain changes in patients up to six months after they recovered from Covid-19, according to a study being presented at the annual RSNA meeting.

On March 31st, 2022, a city-wide lockdown to curtail the spread of the Covid-19 virus in Shanghai, China, shuttered the GE Healthcare manufacturing facility that produces 80% of the global supply of iodinated contrast media agents iohexol (Omnipaque) and lodixanol (Visipaque). Although the plant was able to operate at 50% capacity by mid-May, the shutdown resulted in a substantial contrast media…

A new X-ray technology has been used to identify a link between the damage that severe Covid-19 can inflict on lungs and pulmonary fibrosis, a disease that causes severe scarring of lung tissue.

White matter hyperintensities (WMH) on the brain seen on MRI represent a biomarker associated with a 50/50 risk of death within five years after a first incident acute ischemic stroke (AIS) or transient ischemic attack (TIA).

To assess diffuse liver disease, MRI is currently the modality of choice. New developments in artificial intelligence (AI) could tip the scales in favour of CT imaging. At ECR 2022 in July, experts showed how AI technology enables CT to quantify liver fat as exquisitely as MRI.

Recent advances in CT have focused mainly on software, yet new technology could push the modality much further, experts showed at ECR 2022.

Bayer recently announced the launch of Calantic Digital Solutions, a new platform delivering access to digital applications, including artificial intelligence (AI) enabled programs for medical imaging.

US scientists and engineers have found a way to improve the performance of traditional Magnetic Resonance Imaging (MRI) reconstruction techniques, allowing for faster MRIs to improve healthcare.

An international team of researchers advises that strong care needs to be taken not to misuse or overuse machine learning (ML) in healthcare research, despite all of its benefits.

When double reading screening mammograms, radiographers trained for the task perform as well as radiologists in key areas, according to a new publication.

Ethical considerations continue to fuel the discussion around artificial intelligence (AI), a panel of experts showed at ECR 2022.

New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.

Exposure to ionising radiation is a major health concern for many interventional radiologists. To help attain an understanding for radiation distribution in a clinical setting, experts tap into the potential of virtual reality (VR).

A new understanding of the 'swallow-tail', an anatomical landmark in the brain, could pave the way for earlier detection of Parkinson's disease.