Search Tag: deep learning
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
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
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
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
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
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
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
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
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
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
2019 14 Aug
A recent study tested the ability of an artificial intelligence (AI) system to triage adult chest radiographs in real-time. Based on deep convolutional neural networks (CNN), the system was able to prioritise radiographs based on the urgency for follow-up treatment, with the aim of improving radiologists’ workflow. 470,388 anonymous adult chest...Read more
2019 07 Aug
A recent study published in The Lancet found that artificial intelligence (AI) technology was able to diagnose patients with intermittent atrial fibrillation even when their hearts were at a normal rhythm. The 10-second test could help identify patients at risk of unexplained heart attacks or strokes. Atrial Fibrillation currently affects 2.7...Read more
2019 11 Jul
Affidea and ScreenPoint Medical announced a strategic partnership to streamline and improve the clinical performance of screening mammography and drive the earlier detection of breast cancer. The partnership will leverage Affidea’s growing footprint in the European breast imaging marketplace and will provide a unique opportunity for ScreenPoint...Read more
2019 05 Jun
Over 40 million mammography exams are conducted in the United States every year, with the volume of images growing exponentially. Radiologists workloads further increase with the implementation of innovative screening technologies like digital breast tomosynthesis (DBT) that require more reading and testing time, increasing the pressure to deliver...Read more
2019 21 May
Google and Northwestern scientists show precision of new deep learning system to predict lung cancer An artificial intelligence system, using deep learning, successfully detected malignant lung nodules on low-dose chest computed tomography (LDCT) scans, performing equal to, or better than expert radiologists, according to a new study from...Read more
2019 14 May
Artificial intelligence ( AI ) has shown promise to select heart failure patients for expensive treatments to prevent lethal arrhythmias , reports a study presented at ICNC 2019. The study is the first to use a machine learning algorithm to predict sudden death in heart failure patients . The International Conference on Nuclear Cardiology and...Read more
2019 07 May
Identifying women at risk for breast cancer is a critical component of effective early disease detection . Available models that use factors such as family history and genetics are inadequate in predicting an individual woman's likelihood of being diagnosed with the disease. Researchers from two major institutions have developed a new...Read more
2019 07 May
Johns Hopkins Medicine researchers develop an image-based computer model of tumour behavior that captures more of the complexity of cancer growth Researchers at Johns Hopkins Medicine have created a similar approach to the one used by the navigation application "Google Maps" to help more accurately compute and visualise the structural and...Read more
2019 26 Mar
Automating symptoms recording clerical aspects of medical record keeping through speech recognition during a patient’s visit 1 could allow physicians to dedicate more time directly with patients, according to a new report published in JAMA Intern Med . Researchers considered the feasibility of using machine learning to automatically populate...Read more
2019 06 Mar
EuroSafe Imaging celebrated 5 years of success in it’s mission to support and strengthen medical radiation protection across Europe following a holistic, inclusive approach with a dedicated series of sessions, activities and events during this year’s European Congress of Radiology . The flagship initiative created by the European Society of...Read more
2019 06 Mar
Incoming European Society of Radiology president Boris Brkljačić 's announces his vision for ECR2020. True to tradition, on the last day of the ECR2019, incoming ESR President Boris Brkljačić, professor of radiology and vice-dean at University of Zagreb School of Medicine, Zagreb, Croatia, and chair of the Department of Diagnostic and Interventional...Read more
2019 06 Mar
Professor Luis Donoso-Bach , head of the department of medical imaging, Hospital Clinic of Barcelona, presented the keynote lecture “ Artificial Intelligence and Machine Learning Informatics: management and performance analysis.” It his poignant and informative presentation he emphasised “ the race is on” as the roles in the healthcare continuum...Read more
2019 01 Mar
Radiologists in Norway are using a CT app to facilitate image reading of the most common areas of the body for bone metastasis The spinal cord is the vital link between the brain and body, a superhighway of life-critical information protected by the bony vertebra of the spinal column. The spinal column is the most common site for bone...Read more
2019 22 Feb
Radiologists, more than any other medical specialty, feel the professional and emotional ‘whiplash’ that began five or so years ago. Vanishing jobs (transforming radiologists into production units) for cost over quality for our patients, to the current shortage and need for more radiologists. AI introduced the threat that automation would take what...Read more
2019 22 Feb
In many ways Artificial Intelligence (AI) may seem like a new concept in healthcare, mainly due in part to the recent traction the topic has made in the news in the last few years. It has even been falsely sensationalized, to further elevate buzz, as a tool that will one day replace clinicians altogether. The truth, though, is that companies like Hologic,...Read more
2019 22 Feb
CEUS for children, ultrasound simulation and gamification models for training and education, EFSUMB initiatives. Prof. Sidhu, EFSUMB president, talks to Healthmanagement.org about his ECR 2019 presentations: using ultrasound simulation models as tools for training and education, the greatest potential in combining ultrasound with contrast-enhanced...Read more
2019 22 Feb
Review of some state-of-the-art applications of artificial intelligence on mammography and MRI. Computer aided imaging is not novel, having been around for 50 years. Developments have boosted the accuracy of computer-based analysis and breast imaging is at the forefront, as large databases are available, and radiologists tasks on images are...Read more
2019 22 Feb
Artificial Intelligence Exhibition makes Grand Debut at this year’s ECR Making its grand debut at this year’s ECR, the Artificial Intelligence Exhibition (AIX) will bring AI to the heart of Europe’s biggest radiology congress and technical exhibition. Canon Medical is proud to have reached the sponsorship agreement of the AIX Theater. As...Read more
2019 20 Feb
Executive Summary Radiology plays an important role in patient screening, diagnosis, treatment guidance, monitoring and follow-up. The sad thing is that two-thirds of the world's population has no access to basic radiologic services. In the case of computer tomography (CT) for example, 14% of low-income countries have at least one CT equipment...Read more