Royal Philips announced a major advance in radiation oncology with 510(k) clearance from the US Food and Drug Administration (FDA) for its new detector-based spectral CT radiotherapy solution.
Radiology AI products are a whole new world. So is running them safely and efficiently in production. At the 2024 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, an expert outlined how new skills and resources are needed to use these AI tools – and how PACS administrators could evolve their position to fit this important role.
Not every spine abnormality shown in an MRI scan causes pain for a patient. To diagnose correctly, researchers advocate the use of questionnaires to match the images with reported symptoms.
Because radiology exams are an integral part of the treatment process for many hospital inpatients, any improvements in efficiency can have a positive ripple effect on routine hospital operations and functionality. Two quality control presentations at the 2023 RSNA Annual Meeting shared the theme of creating representational staff teams to identify bottlenecks involving radiology report…
Evidence of the superiority of tomosynthesis for breast cancer detection is stacking up, with new results from a 10-year study further demonstrating the 3D imaging technique's benefits.
Radiology practices have a high volume of chest X-rays without clinically significant finding, which take up a lot of time. A new AI tool could improve workflows by providing an automatic report.
Artificial Intelligence will be a critical component in ensuring a Europe-wide lung cancer screening programme can achieve its potential, according to speakers at a special ECR 2024 session. Delegates heard that the SOLACE project (Strengthening the screening of Lung Cancer in Europe) will be supported by AI in terms of workflow, diagnostics, and image and data analysis.
Just a concussion? Head injury can lead to persistent symptoms, yet CT scans often fail to identify these cases. Researchers explore the potential of diffusion tensor imaging for better diagnostics.
As the adoption of AI into healthcare continues, concerns about the environmental impact of increasingly complex AI models grow. Therefore, researchers are looking for more sustainable AI solutions.
As opportunities for teleoperations rapidly expand within radiology, the concept is being deployed across an array of modalities to deliver more efficient healthcare. A range of speakers covered the topic of ‘Teleoperations in radiology’ at ECR2024, discussing its benefits in applications in MRI, ultrasound, during the social restrictions of the Covid-19 pandemic and military use. However,…
Using an advanced scanner, researchers have developed a technology that can detect the earliest changes in the kidney when scar tissue begins to form.
From 45 minutes to just a few seconds: A new computer model utilises AI to examine cardiac MRI scans in the four-chamber plane, potentially offering speedy and dependable heart health evaluation.
Using specific radiomics features from 70 characteristics in MRI images, researchers develop an objective method to predict the hearing status of patients with vestibular schwannoma.
United Imaging announces that it has provided the Unicamed Hospital in Gjilan, Kosovo, with two state-of-the-art systems – the uCT 528 80-slice CT scanner and the uDR 266i digital radiography system.
Digital twin technology can transform clinical practice by aiding patient-specific prediction and supporting personalized treatment models. Expert speakers at an ECR 2024 session in Vienna focussed on how radiology will play a leading role in the advance through data acquisition via a range of imaging modalities.
The IRCCS in Bologna has inaugurated a state-of-the-art integrated PET/CT system. This cutting-edge technology allows for the entire human body to be studied in a single scan, even detecting the smallest tumour cells.
Through the joint efforts of United Imaging and NeuralMed, Prizren Regional Hospital has become the first facility in Kosovo to benefit from United Imaging's cutting-edge diagnostic technology.
Current AI systems for detecting breast cancer from mammography exams are more likely to produce false-positive results in black women and older patients, a new study finds.
Diagnosing lung conditions such as pulmonary embolism is more challengenging when a patient cannot tolerate contrast agents. Now, a new software solution is addressing the issue.
A United Imaging Healthcare uCT 780 CT scanner has been installed at the Ospedale di Circolo e Fondazione Macchi di Varese in the small town of Varese in the far north-western province of Lombardy.
AI-enhanced CT scans can accurately evaluate cardiovascular risk without contrast media, a new study shows. The technique uses coronary calcium and heart chamber size as markers for disease detection.
How can radiology become more sustainable? In a new focus article, radiologists outline concrete actions that aim to reduce the carbon footprint of any diagnostic imaging department.
New approaches to cardiovascular radiology are evolving to help clinicians gain an increasingly better insight into heart conditions. Latest developments in cardiovascular radiology include myocardial strain imaging, 4D flow and photon-counting CT technology. An ECR 2024 session shone the spotlight on these areas of cardiovascular imaging with expert speakers outlining the pros and cons of each.
In diagnostics, there used to be a hard divide between radiology and pathology, where methods were largely considered incompatible with one another. However, to pave the way for next-generation diagnosis, Professor Regina Beets-Tan urged both sides to come out from their trenches and appreciate the synergies the fields have to offer. In her presentation at the European Congress of Radiology (ECR)…
Radiologists and AI don’t always work well together: New research finds that the benefits of using AI tools appear to vary, boosting performance of some clinicians, but hurting others'.