Search Tag: deep learning
2023 09 May
Imalogix, an industry leader in deep learning AI for imaging, announced that world renowned radiology leader and clinical researcher Dr. Ehsan Samei has joined the Imalogix team as its Chief Scientific Advisor. Dr. Ehsan Samei, PhD, DABR, FAAPM, FSPIE, FAIMBE, FIOMP, FACR is the Reed and Martha Rice Distinguished Professor of Radiology at Duke...Read more
2022 13 Sep
Data science has brought forth many exciting advancements in healthcare; however, it is important to recognise what data science is and how we can continue to use it to positively advance healthcare Key Points Data science is an intersection of computer science, mathematics, and domain expertise. Artificial intelligence encompasses...Read more
2022 13 Sep
This article provides an overview of new ways to represent data combining patient access and DICOM information, advanced use of medical imaging metadata, analysis of radiation dose and image segmentation and deep learning for feature engineering to enrich data. Introduction Data is the world’s most valuable resource and it is possible...Read more
2022 13 Sep
This article provides an overview of new ways to represent data combining patient access and DICOM information, advanced use of medical imaging metadata, analysis of radiation dose and image segmentation and deep learning for feature engineering to enrich data. Introduction Data is the world’s most valuable resource and it is possible...Read more
2022 06 May
Artificial intelligence (AI) and healthcare access remain key themes at ISMRM as researchers and clinicians seek more efficient and effective solutions in today’s resource-constrained environment GE Healthcare highlights the continued expansion of its state-of-the-art AIR Recon DL technology across the totality of its 1.5T, 3.0T and 7.0T MR product...Read more
2021 30 Oct
Obesity is associated with diabetes, but there are metabolically healthy individuals with excess body fat and others with normal body weight who develop insulin resistance. The key risk factor is fat distribution. Individuals who accumulate deep abdominal and visceral fat are more likely to develop insulin resistance than individuals with subcutaneous...Read more
2021 26 Oct
Gadolinium-based contrast agents (GBCAs), used during MRI scans, enhance brain tissue contrast. GBCAs are crucial for brain tumour care because they highlight areas with abnormal blood-brain barrier permeability that tumours cause. This permits monitoring of treatment response and also guide surgical tumour removal. Disadvantages to using GBCAs include...Read more
2021 08 Oct
Mammography provides early detection when breast cancer treatments are more successful. Unfortunately, mammography is less sensitive in women with dense than with fatty breast tissue. This is unfortunate because the breast cancer risk is three- to six times higher in dense rather than fatty breast tissue and two times higher than that of the average...Read more
2021 25 Apr
Analysing microscopy images has just become easier with a new, freely available artificial intelligence platform. You might also like: Smartphones are becoming an indelible part of everyday life and also finding their way into healthcare. A new study explores the challenges and opportunities of their applications in biomedical...Read more
2021 07 Mar
A group of Spanish researchers present the results of their work on applying natural language processing (NLP) techniques for electronic health record analysis and specific data extraction. You might also like: A vendor-neutral, open-source, natural language approach of EHR data is suggested by a team of U.K. researchers, to help...Read more
2021 14 Jan
Deep learning models are more efficient at discerning patterns and discriminative features in brain imaging than standard machine learning models, a new study shows ( Abrol A et al. 2021) . You might also like: Radiomics in the Imaging of Brain Gliomas: Current Role and Future Perspectives Researchers at the Center...Read more
2021 14 Jan
A new systematic review (Syeda et al. 2021) analyses artificial intelligence (AI) -based methods utilised to tackle the pandemic and provides insights into different COVID-19 themes. You might also like: AI Tool Helps to Reduce COVID-19 Mortality Since the onset of the COVID-19 pandemic, many healthcare organisations have...Read more
2020 28 Sep
Artificial intelligence developments in machine and deep learning are benefitting from the experience of COVID-19 to pave the way for future pandemic outbreaks. Key Points The generalised use of big data in healthcare implies a revolution that is reshaping the industry as we know it. Artificial intelligence...Read more
2020 26 Jun
A new collaboration between German and Canadian institutions has been launched with a goal to develop a high-resolution 3D map of functional neuroanatomy using artificial intelligence and high-performance computing. You might also like: AI in medical imaging may make the biggest impact in healthcare The new...Read more
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