The use of artificial intelligence in medicine offers new ways for making more precise diagnoses and relieving doctors from routine tasks. How well do doctors really have to understand this technology to develop the "right” measure of trust in such systems?
Stephen Gilbert will fill the new Else Kröner Professorship for Medical Device Regulatory Science at the Else Kröner Fresenius Center for Digital Health at Dresden University of Technology starting in March 2022.
Scientists at Charité – Universitätsmedizin Berlin have collected data from 1,647 preeclampsia patients and used machine learning methods to create a model that can better predict the probability of serious complications.
Navigating large hospitals can feel like a mouse circling around in a maze. For patients and visitors, finding the way from Point A to Point B inside a visually-bland medical complex exacerbates an already stressed mental state.
How can a customized chemotherapy be found for cancer, for example? Machine learning methods can help with this and also improve patient treatment for other diseases. The start-up project aimed analytics at the University of Bonn has developed a modular analysis system that precisely groups patients on the basis of medical Big Data.
What do people with multiple sclerosis, dementia or chronic pain go through? What are their experiences of medical practices or hospitals like? What kind of support do they find helpful? The new dipex.ch platform launched by Zurich researchers makes patient experience reports publicly available so that they can be used for research and teaching, to improve healthcare provision, or for self-help.
Blood clots form naturally as a way to stop bleeding when someone is injured. But blood clots in patients with medical issues, such as mechanical heart valves or other heart conditions, can lead to a stroke or heart attack. That's why millions of Americans take blood-thinning medications, such as warfarin, that make it harder for their blood to clot.
Researchers at the University and the University Hospital of Bonn have developed a method that could be used to diagnose atherosclerosis. Using self-learning software, they were able to identify vascular changes in patients with peripheral arterial disease (PAD), often at an early stage.
The goal of the cluster project M3Infekt, initiated by the Fraunhofer-Gesellschaft, was to develop the technical basis for more comprehensive vital monitoring and care of Covid-19 patients outside of intensive care units.
Over 10,000 people with diabetes worldwide use open-source software solutions to automatically adjust their glucose levels via an insulin pump. As such do-it-yourself solutions have yet to be approved by regulators, this raises the question of how treatment teams can support diabetes patients who use this type of artificial pancreas system.
A doctor is ending a shift but her patient will be getting some blood draws later. She also hoped to have a pre-existing, chronic condition assessed by a different doctor in another specialty, who won’t be arriving for a few more hours.
5G-OR is one of the 4 winning projects jointly selected by the Federal Ministry of Economics and Climate Action in Germany and the Ministry of Economy, Finance and Relaunch in France for the call "Technical developments and application ecosystems for 5G private networks". The joint Franco-German 5G-OR project takes up the challenge in the healthcare domain.
When skin cancer is detected early, there is a good chance of recovery. Fraunhofer researchers have developed a digital solution to significantly speed-up diagnosis. A mobile application assists in recording skin lesions and sends these to dermatology departments in hospitals.
Artificial intelligence (AI)-based scheduling significantly improves physician engagement and reduces burnout by creating fair and flexible schedules that support work-life balance — even during the COVID-19 pandemic — according to research being presented at the American Society of Anesthesiologists' ADVANCE 2022, the Anesthesiology Business Event.
A team of scientists from Nanyang Technological University, Singapore (NTU Singapore) has developed a predictive computer programme that could be used to detect individuals who are at increased risk of depression.
It's often too much for parents to absorb, especially when they’re sleep deprived and stressed. A smartphone app tested at Northwestern University, NICU2Home, which is still in the research phase, aims to make this transition easier.
At MEDICA 2021 held at Messe Düsseldorf from November 15 to 18, Somnics Inc., a medical devices maker specializing in sleep breathing disorders, presents to international medical professionals its “...
The 30th Taiwan Excellence Award recently announced the winners from a long list of candidates. Somnics, Inc. won its third Taiwan Excellence Award for the new generation iNAP Oral Interface I08, an...
UK MedTech firm, Occuity, successfully raises over £2m to deliver ophthalmic and optical diabetes devices. Occuity have also announced they will be exhibiting on the ABHI UK Pavilion at MEDICA 2021,...
Bulbitech announces it has been granted 20.2 MNOK from the Norwegian Research Council for the further validation, commercialization and development of its technology. Funds will be used in a project...
British manufacturer Medezine – who develop high quality medical equipment, primarily focused on medical saws, scissors and instruments – will be joining the ABHI UK Pavilion at MEDICA 2021 (15 – 18...
November 12, 2021, Düsseldorf, Germany Shell-Case Ltd, the leading global designer and manufacturer of unique, tailor-made professional carrying solutions for medical devices, is excited to continue...