19.02.2020Mobile devices proved both reliable and accurate for the clinical decision to administer IV thrombolysis in patients with acute stroke, according to an ahead-of-print article in the April issue of the American Journal of Roentgenology (AJR).
10.02.2020Up to now, cancer is still one of the major diseases that threaten the survival of mankind, and it is difficult to cure clinically. In addition to single or combined surgery, chemotherapy and radiotherapy, which are commonly used clinically, a number of promising therapeutic strategies have been recently put forward.
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.
06.02.2020Using specialty cameras and an oxygen probe drug injection, researchers at Dartmouth's Norris Cotton Cancer Center can now image oxygen from within cancer tumors during radiation while the probe is excited by Cherenkov light, a byproduct of radiation.
28.01.2020AI can help cancer patients start their radiation therapy sooner by instantly translating complex clinical data into an optimal plan of attack. Patients typically must wait several days to a week to begin therapy while doctors manually develop treatment plans. But new research shows how enhanced deep-learning models streamlined this process down to a fraction of a second.
20.01.2020A technique that enables patients suffering from heart conditions to hold their breath safely for over 5 minutes could have potential as part of a new treatment for cardiac arrhythmias, say researchers at the University of Birmingham.
17.01.2020A hospital generates several thousands of gigabytes of data each day. The growing flood of data is no longer manageable for doctors. The great hope: artificial intelligence. Radiology is the main beneficiary. Dr. Felix Nensa from Essen University Hospital and Dr. Peter Langkafel from the Digital Health Factory tell us more about the possibilities and limits of learning machines.
17.01.2020Researchers at Osaka University have developed a computer method that uses magnetic resonance imaging (MRI) and machine learning to rapidly forecast genetic mutations in glioma tumors, which occur in the brain or spine. The work may help glioma patients to receive more suitable treatment faster, giving better outcomes. The research was recently published in Scientific Reports.
14.01.2020Cancer patients may one day be able to get their entire course of radiation therapy in less than a second rather than coming in for treatment over the course of several weeks, and researchers in the Abramson Cancer Center of the University of Pennsylvania have taken the first steps toward making it a reality.
08.01.2020Doctors have used focused ultrasound to destroy tumors without invasive surgery for some time. However, the therapeutic ultrasound used in clinics today indiscriminately damages cancer and healthy cells alike.
08.01.2020In neurological diseases such as Alzheimer's disease, Parkinson's disease or Multiple Sclerosis, brain neurons are constantly being lost, resulting in memory lapses, speech disorders, mood swings and movement disorders, for example, as well as muscle tremors in the case of Parkinson's.
09.12.2019Colorectal cancer is the second most common type of cancer worldwide, with about 90% of cases occurring in people 50 or older. Arising from the inner surface, or muscosal layer, of the colon, cancerous cells can penetrate through the deeper layers of the colon and spread to other organs. Left untreated, the disease is fatal.
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.
01.10.2018A look inside the lungs is a time-consuming process. To identify the boundaries of the respiratory organ from surrounding other organs, tissues, and structures requires between 200 and 500 computed tomographic images and subsequent manual markings – an elaborate process that can take up to six hours. An optimized computer program is now able to do this in only a few seconds.
01.10.2018Lung cancer is one of the most common and deadliest cancers. The symptoms tend to be non-specific, often causing its detection to be too late. Currently, there is no comprehensive screening. This could change with the use of low-dose CT scans. It should be noted that this is not just an issue of technical feasibility. A screening test must also make sense from a health policy perspective.
01.08.2018For years, medicine has been exploring AI techniques aimed at easing physician workload. While computers may not have the medical expertise and skills obtained through years of study, they can recognize patterns and specific features in datasets and draw deductions.
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.
10.07.2017Radiation therapies are an essential component of today’s oncology because they enable the treatment of localized tumors. Yet they have one major drawback: radiation damages not just tumor cells but also healthy tissue. One solution to solve this problem could be proton minibeam therapy, which uses finely focused beams.
13.04.2017These days, medical imaging is one of the key diagnostic methods. But how do large medical devices actually get to their final destination? MEDICA-tradefair.com took its camera along to observe the remodeling of a radiology imaging office. The leading actors: a CT scanner and an MRI machine.
08.03.2017Pneumonia is the most frequent respiratory disease in children and can even cause death. That is why it is extremely important to make an accurate diagnosis as quickly as possible. If this requires imaging tests, normally X-rays are taken. But there is an alternative: ultrasound.