14/01/2022According to an article in ARRS' American Journal of Roentgenology (AJR), whole-spine MRI commonly demonstrates isolated thoracolumbar injuries in children with suspected abusive head trauma.
23/12/2021Emergency room and urgent care clinics are typically busy and patients often have to wait many hours before they can be seen, evaluated and receive treatment. Waiting for x-rays to be interpreted by radiologists can contribute to this long wait time because radiologists often read x-rays for a large number of patients.
17/12/2021Researchers in the UK and China have developed an artificial intelligence (AI) model that can diagnose COVID-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.
13/12/2021According to an article in ARRS' American Journal of Roentgenology (AJR), MRI—with or without FDG PET coregistration—can improve the staging of patients with small cell lung cancer (SCLC).
03/12/2021A new automated system that involves deep learning technology enables the detection of COVID-19 lesion via the analysis of a computed tomography (CT) scan. This system, described in a study published in the journal Computers in Biology and Medicine, has been carried out by researchers of the UB, the EURECAT Technology Centre of Catalonia, and the Computing Vision Center (CVC).
02/12/2021A team led by researchers at Massachusetts General Hospital (MGH) has demonstrated that magnetic resonance imaging (MRI) and artificial intelligence (AI) can be used to detect early signs of tumor cell death in response to a novel virus-based cancer therapy.
01/12/2021A UC Davis Health team has developed a first-of-its-kind positron emission tomography (PET) scan imaging-based tool to detect liver inflammation in patients affected with non-alcoholic fatty liver disease.
29/11/2021Researchers at the University of Göttingen and University Medical Center Göttingen have now found a new technique to measure and quantify neuronal tissue architecture in three dimensions and at high resolution, which enabled them to identify changes in neurons in Alzheimer's.
25/11/2021In order to detect and research diseases, it is important to look inside the body. For this purpose, there are various imaging methods – from ultrasound examinations to X-rays and computer tomography. Molecular imaging provides a particularly precise insight, showing biological processes and organ functions "live".
19/11/2021According to an open-access Editor's Choice article in ARRS' American Journal of Roentgenology (AJR), convolutional neural networks (CNN) trained to identify abnormalities on upper extremity radiographs are susceptible to a ubiquitous confounding image feature that could limit their clinical utility: radiograph labels.
12/11/2021A new paper in the British Journal of Surgery, published by Oxford University Press, indicates it's now possible to diagnose appendicitis using low-dose CT scans, decreasing the radiation exposure, which is of significant clinical importance especially in young patients.
11/11/2021A research team in Kiel has developed new contrast agents for magnetic resonance imaging in order to be able to make biochemical processes visible.
05/11/2021When the coronavirus enters the lung, it causes massive tissue damage. Now, an international research team has been able to demonstrate for the first time, using a highly innovative X-ray technique in a non-destructive manner, that severe COVID-19 causes massive remodelling of the finest blood vessels by causing normally separate blood systems to join together with unusual frequency.
27/10/2021For the first time, researchers at the Technical University of Munich (TUM) have successfully used a new X-ray method for respiratory diagnostics with patients. Dark-field X-rays visualize early changes in the alveolar structure caused by the lung disease COPD and require only one fiftieth of the radiation dose typically applied in X-ray computed tomography.
25/10/2021Chest CT scans have emerged as a quick and effective way to diagnose the disease, but they require radiologist expertise to interpret, and sometimes the scans look similar to other kinds of lung infections, like bacterial pneumonia.
22/10/2021Scientists from Skoltech, Philips Research, and Goethe University Frankfurt have trained a neural network to detect anomalies in medical images to assist physicians in sifting through countless scans in search of pathologies. Reported in IEEE Access, the new method is adapted to the nature of medical imaging and is more successful in spotting abnormalities than general-purpose solutions.
10/02/2020If life has given you many blessings, you should share them with others – and you also need to be a little crazy. That's Dagmar Braun's point of view. She initiated the construction of a hospital in Togo, Africa. The country currently lacks the system required to deliver comprehensive medical care. Surgical equipment and gynecology devices are much-needed to compensate for these deficits.
02/09/2019Radiology is a field that produces large volumes of data, which can no longer be managed without the help of intelligent systems. This is especially true when it comes to the interpretation of medical images. While this takes physicians years of training and experience, several hours of work and the highest level of concentration, AI only requires a few seconds to accomplish the same task.
02/09/2019In modern medicine, especially in the field of imaging, huge amounts of data are produced – so much that radiologists can hardly keep up with diagnosing the images. Artificial Intelligence could be the solution to this problem. But how exactly can it help in this task? How can man and machine work together? And what else will be possible in the future with the support of intelligent systems?
02/09/2019Artificial intelligence is no longer a dream of the future in medicine. Many studies and initial application examples show that it sometimes achieves better results than human physicians. At Jena University Hospital, the work with AI is already lived practice. It is the first institution in the world to use algorithms in radiological routine to reconstruct CT images.
22/05/2019Many illnesses or old age require help with everyday tasks. Unfortunately, family members or caregivers aren’t always available to lend a hand. The MobiKa mobile service robot is designed to offer support, deliver motivation and improve the quality of life of those in need.
23/04/2019It's noisy, tight and scary - that's how children feel about a magnetic resonance imaging (MRI) machine. Because they are scared, they are often too fidgety and anxious during the procedure, causing the images to blur or the scan to be stopped. Researchers have now developed a VR app called Pingunauten Trainer that’s designed to gently prepare the little patients for MRI scans.
08/04/2019Cardiac arrhythmia is a group of conditions where nerve cells trigger uncontrolled contractions of the heart muscle. They are treated with either medicine or catheter ablation of the tissue. In an interdisciplinary collaboration, cardiologists and radiotherapists took a different approach and used high-precision radiation therapy to treat a patient for whom the other options proved unfeasible.
08/03/2018Automation makes work life easier in many ways but is it also a solution for analyzing medical images? Is a computer actually reliable enough to assist in the medical decision making process? Researchers in Landshut examine how machine learning algorithms can work more reliably and support radiologists.