News • AI vs. NSCLC
Streamlining lung cancer radiotherapy with Deep Learning
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
As knowledge about Covid-19 advances, so does the arsenal of techniques to predict, diagnose and follow up on the disease. At ECR, researchers presented a range of promising imaging modalities to keep track of Covid-19 symptoms, severity, and mortality, often including AI support to enhance or accelerate diagnostics.
A Europe-wide project aims to improve medical radiation protection for patients and staff by better understanding and evaluating the health effects of exposure to low-dose ionising radiation resulting from diagnostic and therapeutic procedures.
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.
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?
A special type of MRI found lung abnormalities in patients who had previously had COVID-19, even those who had not been hospitalized with the illness.
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”.
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.
Conventional CT imaging has reached its technical limitations: Resolution can only be improved by small margins and dose cannot be reduced significantly: Photon-counting technology enables drastic improvements.
Dunlee's liquid metal bearing CT replacement tubes extend reach beyond USA and Europe with full registration in Canada and selected Middle Eastern countries.
Fujifilm aims to become an entity that can contribute to the advancement of human health by supporting the ongoing transformation in the healthcare industry – as a “One-Stop” solution partner.
To bridge new equipment installations in radiology, temporary high workloads, or long-term additional capacity, Canon Medical provides mobile solutions according to customers’ needs and wishes.
Our RADBook gives an overview about the most innovative diagnostic imaging systems for radiologists, cardiologists and managing directors of hospitals in Europe. The print guide is also available as an epaper. Click here to find out more.
Precision, speed and simplicity of use. Safety for patient and X-ray technician. Reduced total cost of ownership. These are the benefits of the first Multi-Scan Body CBCT developed by NewTom.
In radiology, it is important to place patients safely and precisely. This works with the "GetUp®" holding system from Febromed.
When a patient suffers a stroke, speed in treatment can mean the difference between successful recovery, permanent disability, or death. For Christopher Hess, success in stroke diagnosis is a question of workflow and efficient care delivery.
Radiologists in Paris have developed a standardised simple visual lung damage CT severity score for Covid-19 patients who do not have symptoms of severe acute respiratory syndrome (SARS) at the time of initial treatment.
At the BIR virtual congress, spinal imaging specialist Professor Elizabeth Dick focused on approaches and protocols for a range of spinal injuries and discussed assessment and imaging strategies, choice of modalities, and other key factors.
For the Siemens Healthineers team developing new and ever higher performing computed tomographs is daily fare. But when they introduced their most recent CT system an unusual sense of pride was palpable. The photon-counting detector in the new Naeotom Alpha scanner is different from previous models and achieves a level of detail hitherto unknown.
A commonly available imaging technique can identify stroke patients most likely to benefit from a procedure to restore blood flow, a potential breakthrough in care that could save thousands of lives every year
Post-mortem CT (PMCT) increasingly supports pathologists, radiologists and forensic investigators particularly in cases of gunshot fatalities, mass casualties, decomposed and concealed bodies, fire deaths, diving deaths, non-accidental injury cases, and road traffic deaths, in which CT can indicate a pattern of injuries. In Dublin this August, the post-mortem (autopsy) technique was discussed…
Researchers at the Skolkovo Institute of Science and Technology (Skoltech) led by Professor Dylov and their colleagues from First Pavlov State Medical University of St. Petersburg, Russia, have developed a brand-new approach to the task of 3D image segmentation — figuring out the contours of the constituent parts in a complex structure. While their so-called negative volume segmentation…
The U.S. Food and Drug Administration (FDA) cleared the first new major technological improvement for Computed Tomography (CT) imaging in nearly a decade. “Computed tomography is an important medical imaging tool that can aid in diagnosing disease, trauma or abnormality; planning and guiding interventional or therapeutic procedures; and monitoring the effectiveness of certain therapies,” said…
Unsupervised deep learning breaks new ground by predicting the progression of COVID-19 and survival of patients directly from their chest CT images.