Since its introduction in the 1970s, computed tomography has been a mainstay of radiology. Its overlay-free representation of body structures and the rapid availability of images make CT indispensable in the diagnostic assessment of numerous diseases, especially in emergency medicine. Modern CT systems not only offer innovative procedures for better image quality, but also reduce radiation exposure.
A new study reveals that AI can accurately rule out negative low-dose CT (LDCT) scans, potentially reducing the workload of radiologists in lung cancer screening by up to 79%.
Anatomically accurate 3D-printed phantoms for CT imaging and AI training show promise as an alternative to cadavers. The new technology allows for patient-specific phantoms with realistic radiopacity.
Pancreatic cystic lesions – indicating an increased risk of pancreatic cancer – are an occasional incidental finding in routine computed tomography (CT) abdominal imaging. New research suggests that the superior image quality of photon-counting CT (PCCT) can help detect more of these lesions. At the RSNA annual meeting, an expert outlined the benefits and limitations of the imaging technique…
The Diagnostica e Terapia Centro Aktis in Marano di Napoli, Italy, has expanded its diagnostic department with the addition of three imaging systems from United Imaging.
A new AI tool creates super-resolution images showing the inner structures of bones in great detail. This can be used to better determine risk for fracture in elderly patients with osteoporosis.
To improve breathing monitoring during radiotherapy, researchers have developed a millimeter-wave sensor capable of non-invasively visualizing respiratory movement during X-ray and CT examinations.
New AI-enabled systems, intelligent software, and imaging cloud services for improved radiology workflows: Royal Philips announces its solutions that will be showcased at ECR 2025 in Vienna.
Mobile stroke units can greatly reduce time-to-treatment. At this year's International Stroke Conference, Siemens Healthineers is showcasing its new mobile solution to support stroke diagnosis.
The virus behind Covid-19 initially causes acute lung injury and respiratory failure. However, new evidence indicates the virus also involves inflammation that can affect the cardiovascular system.
Coronary computed tomography angiography (CCTA) 3D imaging of the heart greatly contributes to preventing heart attacks, compared to standard tests, a new study finds.
A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have important implications for lung cancer treatment.
"Negative" results are good, and CAT scans are taken without felines: Medical jargon can be confusing for children, so pediatrics experts call for clearer language to avoid invoking fear.
United Imaging announces four installations of their diagnostic imaging systems at three healthcare facilities in Romania. Working closely with distributor Tehnoplus Medical, the company hopes to increase diagnostic accuracy and support better treatment outcomes.
Discover in only one minute, how the Get Up holding system sustainably assists both patients and medical staff.
As new research shows, low-dose chest computed tomography (CT) can identify coronary artery calcium, a strong risk factor for coronary artery disease (CAD), in patients without cardiac symptoms.
United Imaging are excited to share that, in partnership with Fora S.p.A., an industry leader with over 50 years of expertise in delivering advanced diagnostic technologies to the Italian market, Policlinico Casilino Hospital will join the company's global network. Demonstrating its commitment to innovation and growth, the hospital has selected the industry-leading 640-slice CT scanner to…
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.
Kidney cancer is relatively rare, so dedicated screening programmes would not be cost-effective. Combined with lung cancer screening, however, this would be much more feasible, a new study shows.
With enough medical training data, AI can predict health conditions with astounding accuracy. Now, researchers want to use brain scans of the entire Scottish population to have an algorithm early detect dementia.
