Information and Communication Technology in Hall 13
This segment deals with the use of solutions in the field of mHealth / mobile IT, KI, VR, AR, Medical Apps, wireless technologies (wireless, Bluetooth, W-LAN), wearables, intelligent textiles (smart textiles), eHealth, telemedicine / telematics / telemetry, management information systems / management software, medical information systems / software, IT infrastructure / computer hardware and communication systems.
Product categories in the segment Information and Communikation Technology:
Researchers at Radboud university medical center have developed a 'deep learning' system that is better than most pathologists at determining the aggressiveness of prostate cancer. The AI system, which uses tissue samples to arrive at its diagnosis, taught itself to identify prostate cancer based on data from over 1200 patients.
Gastric bypass vastly improves the health of the patients who elect to receive the surgery. Post-bariatric hypoglycemia, however, can be a severe complication experienced by 10 to 30 percent of patients.
Proteins are often called the working molecules of the human body. A typical body has more than 20,000 different types of proteins, each of which are involved in many functions essential to human life.
Artificial intelligence can detect one of the most common forms of blood cancer – acute myeloid leukemia (AML) – with high reliability. Researchers at the German Center for Neurodegenerative Diseases (DZNE) and the University of Bonn have now shown this in a proof-of-concept study. Their approach is based on the analysis of the gene activity of cells found in the blood.
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma. This form of cancer in children, which occurs in specialised nerve cells in the sympathetic nervous system, may be life-threatening.
One day, soldiers could cool down on the military battlefield – preventing heat stroke or exhaustion – by using "wearable air conditioning," an on-skin device designed by engineers at the University of Missouri. The device includes numerous human health care applications such as the ability to monitor blood pressure, electrical activity of the heart and the level of skin hydration.
One of the challenges in using machine learning for drug development is to create a process for the computer to extract needed information from a pool of data points. Drug scientists must pull biological data and train the software to understand how a typical human body will interact with the combinations that come together to form a medication.
Artificial intelligence (AI) technology developed by the RIKEN Center for Advanced Intelligence Project (AIP) in Japan has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors. Further, the AI identified features relevant to cancer prognosis that were not previously noted by pathologists.
Crucial early diagnosis of dementia in general practice could improve thanks to a computer model designed in a collaboration between Brighton and Sussex Medical School (BSMS) and astrophysicists at the University of Sussex.
If healthcare providers could accurately predict how their services would be used, they could save large sums of money by not having to allocate funds unnecessarily. Deep learning artificial intelligence models can be good at predicting the future given previous behaviour, and researchers based in Finland have developed one that predicts when and why elderly people will use healthcare services.
Scientists are developing a new way to identify the unique chemical 'fingerprints' for different types of breast cancers. These new chemical footprints will be used to train AI software - creating a new tool for rapid and accurate diagnosis of breast cancers.
Researchers at the Polytechnique Montréal Nanorobotics Laboratory has developed a novel approach to tackling one of the biggest challenges of endovascular surgery: how to reach the most difficult-to-access physiological locations. Their solution is a robotic platform that uses the fringe field generated by the superconducting magnet of a clinical MRI scanner.
Much remains unknown about diseases and the way our bodies respond to them, in part because the human genome is the complete DNA assembly that makes each person unique. A Virginia Tech professor and his team of researchers have created new technology to help in understanding how the human body battles diseases.
UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images - giving clinicians a powerful way of predicting patient outcomes.
Colorectal 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.
Sepsis is a major public health problem, contributing to substantial disability, death, and healthcare costs in the United States among both adults and children. Though sepsis is the focus of worldwide prevention and quality improvement efforts, tracking sepsis rates and outcomes is challenging because a definitive diagnostic test does not yet exist.
Health apps could be better tailored to the individual needs of patients. A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
A device designed by a team of faculty and student researchers at Sheridan's Centre for Mobile Innovation (CMI) has the potential to impact the diagnosis of community-acquired pneumonia - a significant cause of death for children worldwide, according to the World Health Organization.
"Anthrokinemat", a smart knee bandage, is to support arthrosis patients in determining the right amount of daily exercise. All relevant data on the strains of the joints are collected and transferred to the patient’s mobile phone.
Traumatic brain injury (TBI) is a significant global cause of mortality and morbidity with an increasing incidence, especially in low-and-middle income countries. The most severe TBIs are treated in intensive care units (ICU), but in spite of the proper and high-quality care, about one in three patients dies.
Diascopic LLC, a Cleveland-based medical research company that develops diagnostic technology, will use a highly competitive federal grant to develop and apply new artificial intelligence (AI) and digital pathology tools for detecting tuberculosis (TB).
NanoEDGE, coordinated by Fraunhofer IBMT, is a research project aiming at converging production techniques for functionalized electrodes with expertise in nanomaterial fabrication and characterization, state-of-the-art engineering, and neuroscience to pave the way for the production of multi-level sensors that can rigorously enhance the performance of established monitoring methods like EEG.
Researchers have created a virtual reality clinic to make it easier for stroke survivors to attend their physical and occupational therapy sessions. Results from a proof-of-concept study suggest that the technology – and the social connection it facilitates – are effective at encouraging therapy participation.
The Airglove warming device works in just 3 minutes gently warming the patients arm to the selected temperature. With extended courses of treatment such as chemotherapy repeated cannulation is often...
Infection prevention specialist GAMA Healthcare is launching a ground-breaking drain disinfectant at MEDICA 2019 that kills, removes and prevents formation of biofilms, including the highly resistant...
EIZO GmbH today announced an extension for its video over IP solution, CuratOR Alipe, which provides lossless transmission of image and video within and outside of the OR. With the new TIP0810-HDMI IP...
In its FP 400 diaphragm liquid pump, KNF has managed to horizontally arrange five diaphragms on a single level for the first time. The new arrangement enables the FP 400 to achieve very low pulsing on...
When coming into close contact with medical devices, patients primarily expect these devices to be quiet and produce minimal vibration. For the manufacturers, size, weight and reliability also count —...
BPR Medical - an international leader in the design and manufacture of medical gas therapy solutions - will be joining the ABHI UK Pavilion at MEDICA 2019 (18 – 21st November 2019) at Hall 16 / K03-3...
The PEDS 600 swivel bracket radiography system impresses with its special flexibility and application versatility. X-ray your patients in standing and lying position independently of a wall stand and...