Search Tag: deep learning
2024 17 Apr
In vivo ophthalmic imaging offers insight into individual cell status, but noise reduces contrast, prolonging acquisition time and risking artefacts. Adaptive optics optical coherence tomography (AO-OCT) enables high-resolution retinal imaging but suffers from speckle noise, hindering cellular visualisation. Current methods require averaging multiple...Read more
2024 25 Mar
As of January 2023, Finland's public healthcare sector has restructured its wellbeing services counties, including Northern Ostrobothnia, under stringent financial limits. Authors reported in the European Journal of Radiology their experience in their hospital, the largest in this region serving 416,000 residents, faces challenges in optimising...Read more
2024 19 Mar
The global demand for imaging tests to assess cancer is increasing, but there's a shortage of imaging specialists, particularly in low and middle-income countries. This leads to delays in scan reporting and patient management. Artificial intelligence (AI) using deep neural networks (DNNs) could help handle high scan volumes while maintaining diagnostic...Read more
2024 08 Feb
A study published in Radiology dwells into the efficacy of a sophisticated deep learning model in accurately predicting short-term subsequent fractures in patients who have recently experienced a hip fracture. This innovative approach utilises digitally reconstructed radiographs obtained from three-dimensional hip CT scans, demonstrating remarkable...Read more
2024 07 Feb
A groundbreaking study has introduced a pioneering method to predict lymph node metastasis (LNM) in patients with non-functional pancreatic neuroendocrine tumours (NF-PanNETs), aiding in tailored treatment strategies and enhancing patient outcomes. Recently published in eClinicalMedicine, the research team from the University of Tsukuba harnessed...Read more
2023 08 Nov
The 2023 Alexander R. Margulis Award for the best original scientific article published in Radiology has been awarded to researchers of the article “Pancreatic Cancer Detection on CT Scans with Deep Learning: A Nationwide Population-based Study”. The team created an AI tool and trained it by analysing hundreds of contrast-enhanced CT studies...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
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 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 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 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 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 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
2019 06 Feb
Executive Summary In this article to appear in HealthManagement the Journal on 22 February 2019, authors Jonas Teuwen , Nikita Moriakov and Ritse Mann present a review of some state-of-the-art applications of artificial intelligence ( AI ) on mammography and magnetic resonance imaging ( MRI ). While computer aided imaging is not...Read more
2019 30 Jan
Needless to say, radiology plays a critical role in healthcare delivery. It is rare for a patient to pass through a hospital without requiring the opinion of a radiologist somewhere along their journey – be it in triaging patients in the ER , assessing the need for treatment, or evaluating the effectiveness of treatment. Equally important is...Read more