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New MRI technique could improve diagnosis and treatment of multiple sclerosis
21/01/2022
It is important that multiple sclerosis is diagnosed and treated as early as possible in order to delay progression of the disease. The technique of magnetic resonance imaging plays a key role in this process. A new MRI technique has been used at MedUni Vienna as part of a research project that could pave the way to quicker assessment of disease activity in MS.
Ohio State researchers help develop new MRI
21/01/2022
New MRI technology, developed by Siemens in collaboration with researchers at The Ohio State University College of Medicine and College of Engineering, will expand imaging access for patients with implanted medical devices, severe obesity and claustrophobia.
The first AI breast cancer sleuth that shows its work
18/01/2022
Computer engineers and radiologists at Duke University have developed an artificial intelligence platform to analyze potentially cancerous lesions in mammography scans to determine if a patient should receive an invasive biopsy.
Whole spine MRI suspected child abuse
14/01/2022
According 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.
Study finds AI accurately detects fractures on x-rays
23/12/2021
Emergency 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.
New model improves accuracy of machine learning in COVID-19 diagnosis while preserving privacy
17/12/2021
Researchers 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.
MRI and hybrid imaging outperform conventional tests for small cell lung cancer staging
13/12/2021
According 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).
Deep learning makes it possible to detect COVID-19 lesions by analyzing CT chest scans
03/12/2021
A 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).
MRI and AI can detect early signs of tumor cell death after novel therapy
02/12/2021
A 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.
New PET imaging-based tool detects liver inflammation from fatty liver disease
01/12/2021
A 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.
X-ray image throws light on neurodegenerative disease
29/11/2021
Researchers 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.
Better images for science
25/11/2021
In 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".
Deep learning for extremity radiographs confounded by labels
19/11/2021
According 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.
Doctors can use CT scans with less radiation to diagnose appendicitis
12/11/2021
A 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.
Progress in the imaging of metabolic processes
11/11/2021
A research team in Kiel has developed new contrast agents for magnetic resonance imaging in order to be able to make biochemical processes visible.
New X-ray technique shows vascular damage in intact COVID-19 lungs for first time
05/11/2021
When 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.
Much-needed medical technology: a hospital for Togo
10/02/2020
If 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.
Man vs. machine – the benefits of AI in imaging
02/09/2019
Radiology 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.
Deep Learning Image Reconstruction – what AI looks like in clinical routine
02/09/2019
Artificial 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.
AI in imaging: how machines manage our Big Data
02/09/2019
In 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?
MobiKa – programmed to help
22/05/2019
Many 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.
Gamification: how penguins help children overcome their MRI fear
23/04/2019
It'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.
Cardiac arrhythmia: treatment in the linear accelerator
08/04/2019
Cardiac 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.
Radiology: machine learning to support medical diagnostics
08/03/2018
Automation 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.