Managing Eating Disorders in Multi-User Virtual Reality
A team of researchers share their experience of creating and testing a multi-user virtual reality (MUVR) remote psychotherapeutic system for... Read more
Chronic Disease Management - Paradigm Shift to Reduce Costs & Maintain Quality of Treatment
People Centric Model to Harness User Value: Personal Data Spaces in Transformation of Health & Care
Hospitals-on-FHIR: Preparing Hospitals for European Health Data Space
Artificial Intelligence and Echocardiography: Are We Ready for Automation?
AI in Radiology: Realities, Challenges and Perspectives from a Tertiary Cardiac Centre in Greece
Learning From Each Other: An Artificial Intelligence Perspective in Healthcare
The concept of digital healthcare puts patients, their personal needs and demands for convenience and speed at the centre, which is why investing in custom software solutions is such a popular business strategy today. But digitisation in healthcare is so much more than just a passing trend. Instead, it is a vital ingredient of the success of each healthcare... Read more
It’s 2022 and public health is undergoing an unprecedented digital transformation. It’s a road already taken before Covid-19, but during the first quarter of 2020 in the U.S. telehealth visits increased by 154% (CDC, 2020). If you are in a business in the healthcare industry , you probably feel the pressure to provide or use technology that works... Read more
In 2014, Stephen Hawking had warned that ‘the development of full artificial intelligence could spell the end of the human race’. 1 A bold statement indeed, but if we focus on the term ‘full’, we’ll understand that if not designed properly, certain level of autonomy that could be difficult to control and can be extremely damaging to fundamental... Read more
2022 15 Jun
As in many sectors, the COVID crisis has substantially changed the way of working, with an increasing need for digital solutions to guaranty continuity of services. The same applies for the medical domain. During the pandemic, clinicians maintained the link with patients, conducting remote consultations, but raising a huge concern with... Read more
2017 06 Apr
Radiologists have been taught to fear machine learning. It means what it says, a machine can learn. It is an inherently frightening concept. It is almost a shame to put such a label on the process, because it is not really new. Remember Fuzzy Logic? Neural Networks? We were all impressed that a computer could recognize the letter “A”, but that... Read more
2017 20 Feb
Efficient patient-centric care models require consolidating mountains of data. Acquisitions and regionalization further compound the challenge. How does an organization capitalize on what could easily become a liability? Fredrik Gustavsson, Sectra CTO, sums up the answer simply, “Don’t buy technology. Buy solutions for your clinical pathways.”... Read more
Artificial Intelligence (AI) in medical imaging and new imaging techniques provide radiologists and other diagnosticians with better access to deeper anatomical and clinical details. At the same time, these innovations highlight the need for...
Comarch Diagnostic Point High demand for accessible and convenient healthcare has led to the rapid development of telemedicine services. Among these services are diagnostic points, which allow proper care to be provided to patients – anywhere,...