23/12/2021Pulmonary embolisms are dangerous, lung-clogging blot clots. In a pilot study, scientists at the Icahn School of Medicine at Mount Sinai showed for the first time that artificial intelligence (AI) algorithms can detect signs of these clots in electrocardiograms (EKGs), a finding which may one day help doctors with screening.
23/12/2021Emergency room and urgent care clinics are typically busy and patients often have to wait many hours before they can be seen, evaluated and receive treatment. Waiting for x-rays to be interpreted by radiologists can contribute to this long wait time because radiologists often read x-rays for a large number of patients.
20/12/2021Treatment options for rheumatoid arthritis have often relied on trial and error. Now Mayo Clinic researchers are exploring the use of artificial intelligence (AI) and pharmacogenomics to predict how patients will respond to treatments, and to personalize care. Findings were published in Arthritis Care & Research.
17/12/2021Researchers in the UK and China have developed an artificial intelligence (AI) model that can diagnose COVID-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.
17/12/2021Artificial intelligence can predict which people who attend memory clinics will develop dementia within two years with 92 per cent accuracy, a largescale new study has concluded.
08/12/2021Using artificial intelligence, a team of University at Buffalo researchers has developed a novel system that models the progression of chronic diseases as patients age.
07/12/2021A new study from The Neuro and eight collaborating international epilepsy centers has developed a simple web-based application clinicians can use to predict which patients will not benefit from an invasive diagnostic work-up, preventing unnecessary, invasive procedures, saving time for patients and the clinical team, and freeing up overburdened health resources.
06/12/2021The system, developed by researchers at the University of Waterloo and DarwinAI, an alumni-founded startup company, uses artificial intelligence (AI) to predict the necessity of ICU admission based on more than 200 clinical data points, including vital signs, blood test results and medical history.
22/11/2021By coupling machine learning with whole genome sequencing, University of Pittsburgh School of Medicine and Carnegie Mellon University scientists greatly improved the quick detection of infectious disease outbreaks within a hospital setting over traditional methods for tracking outbreaks.
22/02/2021Sometimes, a hospital stay can proceed successfully without a hitch. At other times, there might be an unexpected turn of events if the patient exhibits complications. Early identification of these patients could prevent unnecessary suffering. A new research project intends to develop an AI-based tool that predicts a patient’s risk of complications at an early stage.
20/01/2021European Union citizens have the right to free movement, settlement, and employment across the member states. In efforts to also digitize the health and care sector, another right is now being added: the EU plans to build a European Health Data Space to facilitate the secure cross-border exchange of health data.
01/10/2020Whether it's process automation, robotics in the OR and nursing areas, or the digitalization of patient records - in a smart hospital, everything comes together to form a connected hospital. Find out exactly how the Smart Hospital is being developed with the help of information platforms and projects in the Topic of the Month.
01/10/2020The coronavirus pandemic has shown us we can make swift changes and handle problems if we set our minds to it, especially thanks to tools of digitization. Hospitals in Germany can expect to see a boost in digital transformation because the Federal Government adopted the "Program to Future-Proof Hospitals" (Zukunftsprogramm Krankenhäuser).
08/09/2020In a time of pandemic, the emergency departments of most hospitals are under intense pressure. Processes can get mixed up, while some systems are stretched to the breaking point. It is easy to lose track of patients, medical devices and rooms. This is where the cibX intelligent IoT solution comes in. Real-time localization and visualization enable safe and up-to-date process optimization.
22/05/2020Athletes not only have to be fit and stay in shape, but they also have to achieve peak performance, especially when they get ready for athletic events. Optimized and individualized performance training requires data from external laboratories and institutes. The [i/med] Sports platform from DORNER Health IT Solutions provides a complete workflow − from anamnesis to diagnostic report.
04/11/2019Artificial intelligence holds the promise of salvation when it comes to medicine: it is meant to unburden medical professionals, save time and money and perform tasks reliably and tirelessly. But before AI algorithms are allowed to diagnose diseases, many technical and ethical questions still need answers.
02/05/2019Digitization impacts many areas of life. It is also remapping the healthcare landscape and is becoming increasingly important, ensuring that patients receive comprehensive care as quickly as possible. To make this a reality, data is stored digitally and medical devices are connected.
02/05/2019Digitalization and networking are supposed to serve the health care system well: In times of staff shortages and demographic change, they are able to support the exchange of patient data and the management of chronic diseases as well as to improve the workflow. But it is still often ignored that both individual devices and complete networks can become lucrative targets for cybercrimes.
02/05/2019Safety should be a top priority when it comes to safeguarding human lives. That's why hospitals must protect their computer networks and data against unauthorized access. However, thanks to the proliferation of connected devices in hospitals, they are at high risk of suffering devastating cyberattacks. There is also a lack of cybersecurity awareness.
02/01/2019While they are very useful, health apps have one major drawback: anyone can release and distribute them unchecked. Only some apps require medical device certification. So how can users spot a great, safe and useful app? When it comes to diabetes apps, the “DiaDigital” seal of distinction is the answer.