Biophysics / GSI Helmholtz Center for Heavy Ion Research
New cooperation aims to further advance radiation therapy
27/06/2022
The GSI Helmholtzzentrum für Schwerionenforschung, the Technische Hochschule Mittelhessen (THM) and Varian, a Siemens Healthineers company from Palo Alto, California, intend to jointly advance medical-technical developments in the field of FLASH therapy and further pave the way to clinical application.
American Roentgen Ray Society
AI saves one hour of daily chest CT interpretation time in study
17/06/2022
Cardiothoracic radiologists exhibited a 22.1% reduction in chest CT interpretations times when having access to results from an automated AI support platform during real-world clinical practice.
Georgia Kirkos/McMaster University
Radiotherapy not always needed for early breast cancer
13/06/2022
Older women with early stage breast cancer may not need radiotherapy after undergoing surgery, McMaster University researcher Timothy Whelan and his team has found.
Fraunhofer/Piotr Banczerowski
3D-based position control in radiotherapy
24/05/2022
A research team at the Fraunhofer Institute for Applied Optics and Precision Engineering IOF has worked closely with Varian Medical Systems (Fraunhofer IOF’s industrial partner) to develop a novel system for tumor radiotherapy, which improves cancer patients’ chances of recovery. The scientists behind the project were awarded the Joseph von Fraunhofer Prize for the overall system.
NYU’s Center for Data Science
Breast-cancer: Radiologists and AI systems show differences in screenings
06/05/2022
Radiologists and artificial intelligence systems yield significant differences in breast-cancer screenings, a team of researchers has found. Its work, which appears in the journal Nature Scientific Reports, reveals the potential value of using both human and AI methods in making medical diagnoses.
DC_Studio
Lung cancer treatment: model to predict patients with poor outcomes
04/05/2022
Moffitt Cancer Center researchers are working to improve the ability to identify patients who are at a higher risk of poor survival through radiomics, an area of science that uses imaging, such as CT scans and MRIs, to uncover tumoral patterns and characteristics that may not be easy to spot by the naked eye.
UPMC
Machine learning model can steer traumatic brain injury patients to life-saving care
28/04/2022
A prognostic model developed by University of Pittsburgh School of Medicine data scientists and UPMC neurotrauma surgeons is the first to use automated brain scans and machine learning to inform outcomes in patients with severe traumatic brain injuries (TBI).
PantherMedia/stockdevil_666
Computed tomography: Digital signals with photon-counting CT
01/02/2022
Does medicine get digital when we scan in diagnostic findings and digitize them in the process? It obviously is more efficient to record data directly in digital form, but not all diagnostic tools have this option. Computed tomography has now made enormous progress in this area: Unlike conventional CT technology, the new photon-counting CT directly creates digital image data.
Dagmar Braun
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.
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?
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.
Fraunhofer IPA
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.
Entertainment Computing Group, Uni DUE & LAVAlabs Moving Images
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.
panthermedia.net/adriaticphoto
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.
panthermedia.net/mark@rocketclips.com
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.