Search Tag: AI

IMAGING Management

2020 18 Sep

Healthcare institutions perform imaging studies for a variety of reasons. While these imaging studies are helpful, very few have clinical therapeutic value. To avoid redundancy and ensure meaningful endpoints to imaging studies, Artificial Intelligence (AI) has now been introduced to the world of medical imaging. AI involves the use of computerised...Read more

IMAGING Management

2020 06 Aug

Collaboration will include data sharing, R&D and an upgrade of RadNet’s fleet of mammography systems to Hologic’s state-of-the-art imaging technology RadNet, Inc. a national leader in providing high-quality, cost-effective, fixed-site outpatient diagnostic imaging services, and Hologic, Inc., an innovative medical technology company primarily...Read more

IMAGING Management

2020 17 Jul

Affidea, the leading European provider of diagnostic imaging, outpatient and cancer care services, is pleased to participate this year at the European Congress of Radiology (ECR) with two presentations and six clinical digital posters for EPOS (the European Society of Radiology's online database for electronic scientific exhibits). In support...Read more

IMAGING Management

2020 17 Jul

In a joint session of the EFRS and the ISRRT at #ESC2020 Digital Congress, speakers from the UK, Ireland and the U.S. talked about Artificial Intelligence and the radiographer profession.   Over the years, there has been a significant discussion on artificial intelligence (A.I.) and the role of the radiologist. Radiographers play an important...Read more

IMAGING Management

2020 19 May

Abstract ProFound AI™ is the latest artificial intelligence algorithm developed by iCAD , Inc., Nashua, NH using deep learning technology that is intended to be used concurrently by radiologists while reading digital breast tomosynthesis (DBT) exams. The algorithm detects soft tissue densities (masses, architectural distortions and asymmetries)...Read more

IMAGING Management

2020 23 Apr

EMPOWERING PHYSICIANS WITH DEEP INTELLIGENCE TO ENABLE ROUTINE CONFIDENT DIAGNOSIS Combining the power of Canon Medical’s Advanced intelligent Clear IQ Engine (AiCE) with Deep Learning Spectral Reconstruction imaging capabilities, Canon Medical Systems Europe B.V. introduces the Aquilion ONE / PRISM Edition, a spectral CT system designed for...Read more

IMAGING Management

2020 20 Feb

The European Congress of Radiology (ECR) is the annual meeting of the European Society of Radiology, where professionals within the field come to meet and discuss all the latest developments in the radiological community. The theme of ECR 2020, “A Clear Vision for Radiology”, represents everything radiologists, radiographers, medical physicists,...Read more

IMAGING Management

2020 03 Feb

A number of research studies have reported that artificial intelligence (AI)-based techniques are able to diagnose breast cancer, lung cancer, and brain cancer faster and with greater accuracy than human clinicians.     Most recently, as described in a Nature report, a new AI algorithm outperformed radiologists in detecting breast cancer...Read more

IMAGING Management

2019 04 Dec

Affidea and Aidence announce a strategic partnership to streamline and improve the clinical performance of lung diagnosis and screening to drive the earlier detection and treatment in the case of lung cancer.  As the leading European provider of advanced diagnostic imaging services, Affidea is starting the collaboration with Aidence, a  medical...Read more

IMAGING Management

2020 25 Jun

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IMAGING Management

2021 04 Oct

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IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

2019 22 Sep

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IMAGING Management

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

IMAGING Management

2019 12 Aug

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IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

2019 28 May

Keeping 'an ear to the ground' through social media to follow and join in conversations regarding the impact and potential of AI in radiology applications is increasing gaining new 'followers'. In a study published in the Current Problems in Diagnostic Radiology, researchers present an overview of using Twitter to characterise public perspectives...Read more

IMAGING Management

2019 28 May

Teleradiology and artificial intelligence (AI) can work hand-in-hand and align their respective potential to greatly impact healthcare delivery. The exponential development of high-speed telecommunications networks have opened the way for vast amounts of data to be transferred across the globe instantly. This provided the grounds for the emergence...Read more

IMAGING Management

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

IMAGING Management

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

IMAGING Management

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

IMAGING Management

2019 06 May

What are the factors that drive innovation and change? AI in radiology is at a crossroads. This crossroads represents a common fork in the path across all industries in which the technology is moving beyond the hype, separating the strongest solutions from those that eventually wane.   Given this context, the AI-medical imaging...Read more