Building artificial intelligence (AI) tools that clinicians and patients can trust, and easily use and understand, are core to the technology being successfully deployed in healthcare settings.
AI-based diagnosis is undoubtedly one of the most promising subjects when we talk about the future of radiology. Now, a couple of new studies indicate that most radiologists are open to using the technology and this for good reasons.
Multiparametric ultrasound (MPUS) has proven its value in the abdomen – now, the technique is increasingly moving towards peripheral areas such as breast and testis imaging, experts showed in a dedicated session at ECR 2022.
Rapid technical advances in ultrasound and increasingly tight healthcare budgets call for a change in ultrasound practice, experts explained in a session at the ECR in Vienna. Two experts presented possible models for the next two decades.
After two online meetings and a teaser last March, the European Congress of Radiology (ECR) is coming home to Austria in July 13-17. We spoke with congress president Regina Beets-Tan about how radiologists must build bridges to go forward.
Researchers have developed cutting-edge imaging technology to help doctors better diagnose and monitor patients with heart failure. The state-of-the-art technology uses magnetic resonance imaging (MRI) to create detailed 4D flow images of the heart.
Using functional MRI with inhaled xenon gas, researchers have identified that long COVID symptoms are related to microscopic abnormalities that affect how oxygen is exchanged from the lungs to the red blood cells.
Physicians use AI-powered technology for faster and earlier detection of diseases. At ECR Overture, Dr Steven Schalekamp, PhD, discussed the application of AI for chest radiography in paediatrics.
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
Incorporating AI support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.
Medical imaging and radiotherapy treatment devices are essential lifesaving technologies. In an era when hospital information systems are increasingly being attacked by cybercriminals, just how protected and safe is this equipment?
Researchers visualize brain inflammation using diffusion-weighted MRI. This detailed "X-ray" of inflammation cannot be obtained with conventional MRI, but requires data acquisition sequences and special mathematical models.
Cerebral white matter hyperintensities (WMH) can have a devastating impact on a patient’s life. Radiologists must learn to recognise these white spots in the brain and conventional imaging may just reveal the tip of the iceberg.
Advances in image post-processing and contrast-enhanced techniques have widened the scope of possibilities for MRI and ultrasound vascular imaging, experts showed in a dedicated course at the ECR Overture.
Dr Christina Malamateniou spoke to The European Society for Magnetic Resonance in Medicine and Biology about the recent review she led to help make MRI brain scans more accessible to autistic people.
Using MRI scans to detect heart failure could revolutionise how the condition is diagnosed, thanks to new research from the University of East Anglia and the University of Sheffield.
Recently, a Korean research team has developed a 3D foot imaging technique that vividly captures peripheral blood vessels, even thinner than 1 mm. It combines photoacoustic and ultrasound images.
Diagnostic imaging in women’s health advances: PET/CT might provide a more accurate imaging alternative to CT in ovarian cancer. T2*-weighted MR imaging in deep endometriosis detection also shows promise, but ultimately falls flat.
Patients with neurological conditions such as dementia or autism can prove especially challenging for radiographers. A session at the ECR Overture in March gave insights to a patient-focused approach.
Contrast agents in the wastewater and power-hungry imaging systems: The eco-footprint of healthcare is huge, and radiology departments are among the main culprits. An expert panel at the ECR Overture explored ways to make the field “greener”.
Synthetic correlated diffusion makes cancerous tissue glow in medical images could help doctors more accurately detect and track the progression of cancer over time.
A software based on deep learning with convolutional neural networks can accurately and consistently classify breast density on mammograms according to BI-RADS criteria.
A mathematical analysis of data obtained with a MRI approach can identify brain cell damage in people at early stages of Alzheimer's.
What really brings “value” in healthcare? In an Open Forum session at the ECR Overture, speakers discussed strategies to revert the trend of medical inflation and argued how to deliver the best outcomes at the lowest cost.
When it comes to imaging stable cardiac chest pain, which modality should be used as the first-line test to investigate coronary artery disease: CT or MRI? Radiologists discussed the strengths and limitations of the two approaches in a lively Pros and Cons session at ECR Overture.