30/11/2022Researchers at LMU and Charité hospital in Berlin have developed a method for classifying difficult-to-diagnose nasal cavity tumors.
22/11/2022Can surgeons quantify the risk of aphasia when removing a brain tumor? To find out, researchers at Klinikum rechts der Isar of the Technical University of Munich (TUM) are analyzing the brain as a network. In a current study with 60 patients, they already achieved an accuracy rate with three quarters of their predictions.
18/11/2022What potential do robotic systems hold when it comes to relieving highly qualified nursing staff in hospitals of non-specialist service activities? This is currently being researched by the Professorship of Nursing Science at the Catholic University of Eichstätt-Ingolstadt (KU) and the LMU university hospital in Munich.
17/11/2022At MEDICA 2022, you can see why smart assistants are needed in the laboratory and which gadgets have made it into everyday laboratory work, thus reducing the workload of the specialists there and increasing efficiency.
15/11/2022A team of researchers from Kaiserslautern and Leipzig is working on a system that automatically analyses and visualises medical data, including their uncertainties.
14/11/2022Interoperability, integration, interaction – medical technology is dominated by digitalization. At MEDICA 2022, Fraunhofer IPK will be demonstrating how intelligent linking of devices and systems, including digital twins, will shape processes in the hospital of the future.
10/11/2022Pioneering artificial intelligence (AI) which automatically diagnoses lung diseases – such as tuberculosis and pneumonia – could ease winter pressures on hospitals, University of the West of Scotland researchers believe.
10/11/2022Researchers from the Fraunhofer Institute for Biomedical Engineering IBMT have developed the “BioSensoLab“, a mobile biological laboratory with which they can demonstrate new developments to customers and test them together – on site at their companies.
08/11/2022A team of researchers from TU Kaiserslautern (TUK), the University Medical Centre in Mainz and several companies is working on a method that will enable more efficient monitoring of malpositions and strains on the back.
02/11/2022Watching your diet based on various health issues can sometimes be tiring. To make the process easier and help patients to monitor their intake, the start-up Doinglab developed an artificial intelligence technology that can recognize and understand food. FoodLens provides detailed information about the food with just a picture.
27/10/2022The use of digital technology in residential care homes can reduce the number of emergency department attendances by 10% each month, according to new research by Lancaster Medical School PhD student Alex Garner.
21/10/2022The speech of patients with neurodegenerative diseases gradually changes. Thanks to the help of artificial intelligence, even the slightest changes can become the basis for a diagnosis.
12/10/2022Research led by Carnegie Mellon University has developed a model that can accurately predict how stay-at-home orders like those put in place during the COVID-19 pandemic affect the mental health of people with chronic neurological disorders such as multiple sclerosis.
11/10/2022Researchers have developed easy-to-use online prediction tools that provide personalized risk estimates for patients undergoing hysterectomy for benign disease.
07/10/2022UNISONO aims to develop a novel system combining an ear-worn sensor with speech recognition.
06/10/2022The app – released in 2016 – can be used for the monitoring of dry eye disease and underscores the feasibility of human-centered medicine through apps.
05/10/2022A research team has developed a tool for the automatic detection of pathologies in thorax X-rays based on the experience and expertise of radiology staff that are validated from the automatic analysis of medical reports.
29/09/2022Imperial researchers have embedded new low-cost sensors that monitor breathing, heart rate, and ammonia into t-shirts and face masks.
28/09/2022Patients with polyps have a higher risk of evolving cancer in the future. Using Artificial intelligence (AI) during colonoscopy can be useful to detect pre-cancerous polyps, Yuichi Mori, doctor and associate professor from the Clinical Effectiveness Research group at the University of Oslo says.
23/09/2022In their latest study, the researchers involved have demonstrated that "integrating and processing all the data together, using multilayer networks, provides a more comprehensive analysis of the data than if they are analysed individually and independently".
15/09/2022Researchers at Nanyang Technological University, Singapore (NTU Singapore) and Tan Tock Seng Hospital (TTSH) have developed a wearable assistive robot that can detect and prevent a fall before it happens, reducing the user’s risk of sustaining injuries.
13/09/2022A new paper from University of Helsinki, published in Nature Communications, suggests a method for accurately analysing genomics data in cancer archival biopsies.