Search Tag: Artificial Intelligence
2019 04 Dec
With the help of artificial intelligence (AI), researchers have developed a tool that automatically measures coronary artery calcium – an important marker of heart disease – on chest CT images, according to a study being presented this week at the annual meeting of the Radiological Society of North America (RSNA). You might also...Read more
2019 03 Dec
Researchers from the University of California San Francisco (UCSF ) have trained deep learning (DL) applications to identify cost indicators from chest radiographs to predict future health costs covering five years. In a Monday presentation at the Radiological Society of North America (RSNA) taking place in Chicago, researchers said DL could...Read more
2019 02 Dec
Valerie P . Jackson , president of the Radiological Society of North America (RSNA), highlighted future trends in the imaging landscape as the 105th Scientific assembly and Annual Meeting opened in Chicago on Sunday. HealthManagement.org is tweeting live from the congress which runs for six days until December 6 and comprises educational...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 19 Nov
Increasing use of artificial intelligence in radiology maybe beneficial in terms of workflow efficiency, but AI seems to dissuade medical students from choosing imaging as their speciality. A survey study, carried out by Swiss researchers, indicates that medical trainees regard AI as a potential threat to diagnostic radiology, making...Read more
2019 18 Nov
New research led by South Korean radiologists provides further proof as to how artificial intelligence can help improve diagnosis of lung cancer using medical imaging. Radiologists performed better in detecting malignant lung cancers on chest x-rays when they read images with deep-learning based software, according to the research published...Read more
2019 11 Nov
3D printing applications in radiology – an early adopter of this technology – are poised to grow rapidly with availability of new, more flexible materials and pioneering machine learning techniques. The advancement in the nature of materials available can be considered as one of the biggest developments in 3D printing, according to experts...Read more
2019 29 Oct
A new artificial intelligence (AI) tool, trained on more than a million screening mammography images, can identify breast cancer with up to 90% accuracy when combined with analysis by radiologists. The AI model was developed by New York University researchers who pointed out that their AI application is intended to optimise the work of...Read more
2019 24 Oct
New assistive technology developed by University of Waterloo researchers has been shown to be useful in diagnosing collapsed lungs from chest x-rays, with better accuracy than radiologists. The AI-driven system could serve as a “computational second opinion” for clinicians given that evaluation of this condition can at times be difficult. You...Read more
2019 24 Oct
Sharing a vision for imaging informatics’ future development and its growing importance globally, two longstanding collaborators, the European Society of Medical Imaging Informatics (EuSoMII) and the Society for Imaging Informatics In Medicine (SIIM), signed a Memorandum of Understanding. “We have been working on formalising this partnership for...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 06 Oct
The EUSOBI Annual Scientific Meeting 2019 held in Budapest, Hungary wound up with celebration of increased attendance and a forward look at next year’s congress. This year the event hit a record level with close to 1000 delegates, mostly from Europe, Australia and the USA attending. Drawing the congress to a close, EUSOBI President...Read more
2019 04 Oct
How radiologists can use AI in workflow was the theme of the Key Note lecture at EUSOBI 2019 ‘ A step into the near future. What to expect from AI in radiology’. Bram van Ginneken, Professor of Medical Image Analysis at Radboud University Medical Center spoke about how AI could impact productively on workflow. Providing an...Read more
2019 03 Oct
Cardiac MRI scans help clinicians to make precise measurements of heart structure and function that guide patient care and treatment plans. Interpreting a cardiac MRI by a trained physician (cardiologist) takes approximately 13 minutes. In contrast, automated machine learning can do the same analysis in just about four seconds nearly 186 times faster...Read more
2019 28 Sep
Luxembourg hospital group Hôpitaux Robert Schumain (HRS) and Hanalytics Sàrl, the Luxembourg subsidiary of Singapore based Tech firm Hanalytics, have joined forces to trial a radiological image analysis solution powered by AI system BioMind®. The two bodies recently signed a memorandum of understanding at the ‘Bringing Innovation...Read more
2019 24 Sep
The European Society of Breast Imaging (EUSOBI) is preparing to open its doors to nearly 1000 participants from across Europe at its annual congress taking place in Budapest next week. You might also like: Machine Learning Cuts Mammogram Volume Radiologists Need to Read This year’s meeting is organised in collaboration with...Read more
2019 18 Sep
AI2 Incubator delivers deep learning and computer vision technology on limited hardware capacity to enable new levels of ultrasound detection FUJIFILM SonoSite, Inc. , specialists in developing cutting-edge, point-of-care ultrasound solutions, and the Allen Institute of Artificial Intelligence AI2 Incubator , builder of AI-first startups, announced...Read more
2019 11 Sep
Collaboration to develop artificial intelligence (AI) enhanced ultrasound technology aimed at increasing the utility of ultrasound and improving our nation’s healthcare system FUJIFILM SonoSite, Inc. has announced the launch of a strategic relationship with Partners HealthCare to apply artificial intelligence to improve the utility and functionality...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 03 Sep
Diagnosis of brain aneurysm, a life-threatening condition, presents a challenge to clinicians as this task requires a high-level of expertise. Early detection however is important in order to prevent the worst outcomes. The good news is that artificial intelligence (AI) may soon help in diagnosing brain aneurysm before symptoms develop. An international...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 30 Jul
Researchers from the Dana-Farber Cancer Institute have developed an artificial intelligence (AI) tool which is just as effective as their human counterparts in gathering information on cancer progression from unstructured radiology reports. The study published in JAMA Oncology showed how AI could not only distinguish cancer presence and the outcomes...Read more
2019 18 Jul
Join us on August 12th at 1 PM EST/10 AM PST for a free community webinar event " Improving Intracranial Hemorrhage and Stroke Prioritization with End-to-End AI " with EnvoyAI and TeraRecon partner MaxQ AI. When is the webinar? August 12th at 1 PM EST/10 AM PST What will I learn? How integrated end-to-end AI workflows are delivering...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 27 Jun
New tool enables vast customer base to automatically convert 3D post-processed studies into rich AI training data sets Artificial Intelligence (AI) and advanced visualization innovator, TeraRecon, today announced its new iNtuition AI Data Extractor™, a technology breakthrough that empowers its clients to automatically transform clinicians’ archived...Read more
2019 20 Jun
Advanced visualization and artificial intelligence (AI) technology provider, TeraRecon , today announced it has successfully completed an FDA regulatory review of its Northstar™ AI Results Explorer, for which the technology and the determination are both firsts-of-kind in the medical imaging industry. Northstar is designed to work alongside the company’s...Read more
2019 10 Jun
Advanced visualization and artificial intelligence (AI) technology provider, TeraRecon , today announced that it has reached agreement with Insignia Medical Systems to make its EnvoyAI™ platform available to Insignia’s vast PACS and Regional Image Sharing Platform (RISP) networks currently running in over 200 United Kingdom (U.K.) healthcare sites. ...Read more