Search Tag: deep learning
AI and CT Distinguish COVID-19 from Pneumonia
2020 24 Mar
In a paper published in the journal Radiology, Chinese researchers propose that a 3D-deep learning model can be used for detecting coronavirus disease 2019 (COVID-19) from chest CT images. You might also like : COVID-19 Will Revolutionise Imaging Practices The model, known as COVID-19 detection neural network (COVNet), is able... Read more
Children in the Spotlight: When Every Second Counts
2020 09 Mar
The University Hospital of the Free University of Brussels (UZ Brussel) in Belgium is pioneering the use of real-time deep learning-based image reconstruction (DLIR) on CT scan, exploring the benefits it offers for rapid pediatric evaluation, including lower dose and enhanced efficiency. In healthcare, it is acknowledged that... Read more
Reimagined Hospitals
2020 29 Jan
In 10 years, the healthcare system will be a different beast. The power of technology and data will change the way we face the current challenges driving us towards more integrated care based on population health and value, with increased patient engagement. This all means the old healthcare provision paradigm is crumbling. Not that hospitals will... Read more
White Paper Reveals What Radiologists Really Feel About AI
2020 21 Jan
Radiologic technologists are, on the whole, positive about the future role AI in imaging according to a recent white paper published by the American Society of Radiologic Technologists Foundation. Named The Artificial Intelligence Era: The Role of Radiologic Technologists and Radiation Therapists , the 21-page white paper gathered data and... Read more
RSNA 2019: Quenching the Thirst for AI Knowledge
2019 21 Nov
This year’s Scientific Assembly and Annual Meeting, the Radiological Society of North America (RSNA) will feature a newly expanded Artificial Intelligence (AI) Hub as the technology becomes increasingly embedded in imaging processes. You might also like: RSNA 2019: Speakers and Topics AI innovations from industry leaders, AI... Read more
Engaging with Artificial Intelligence
2019 23 Oct
Artificial intelligence's growing applications in radiology are leading to transformative change in this field of medicine. With this surge in AI implementation, there is also a growing sense of helplessness among radiological professionals, which should not be the case, according to researchers at three Canadian institutions. As frontline healthcare... Read more
AI Accuracy Matches Clinicians'
2019 30 Sep
More sophisticated technologies such as artificial intelligence are said to hold much promise in improving disease diagnosis . A new systematic review of relevant published articles, for instance, indicates that AI can detect diseases from medical imaging with the same accuracy as clinicians. The review included 82 studies spanning cardiology, breast... Read more
Automated Deep Learning in Healthcare
2019 10 Sep
Physicians' expertise is founded on medical science and many of them may not have much familiarity with artificial intelligence (AI) techniques, now fast becoming "de rigueur" in medical practice. But, thanks to automated deep learning, even clinicians that aren’t experts in AI may be able to create AI algorithms that can help them with early detection... Read more
Putting Medical Radiation Protection First
2019 26 Aug
Summary: How a European Society of Radiology flagship initiative is addressing quality and safety in medical imaging. EUROSAFE IMAGING has celebrated five years of success in its mission to support and strengthen medical radiation protection across Europe. Through its Stars network, EUROSAFE IMAGING makes efforts to give radiation protection... Read more
Better Insight*, Better Peace of Mind
2019 26 Aug
Enhanced diagnostic accuracy of screening mammography with the use of Artificial Intelligence Breast cancer is the most frequent cancer among women, with an estimated incidence of 560,000 cases in 2018, in Europe. 1 The World Health Organisation (WHO) estimated that 627,000 women worldwide, 2 out of which 150.0002 only in Europe, died from... Read more