Search Tag: deep learning
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
2018 04 Dec
Radiology and medical imaging is continuously experiencing rapid enhancements including quality of patient care as a result of uncovering new aspects of the vast potential of artificial intelligence implementation in clinical practice. As more hospital medical imaging equipment connects to the internet, cyberattacks and malicious software vulnerabilities...Read more
2018 02 Dec
The tight roped tug of war concerning artificial intelligence and exponential technologies like deep learning and machine learning has been pulling at radiology for years. There are those fearing the dark side- new technologies as the ‘big bad’ machines that will rise up and exterminate the radiologist, the shining happy radiologists that see unicorns...Read more
2018 27 Nov
In a study presented at the annual meeting of the Radiological Society of North America (RSNA) in Chicago, researchers using artificial intelligence have developed a deep learning algorithm that may lead to the reduction of the gadolinium dose used in contrast material for MRI exams. “There is concrete evidence that gadolinium deposits in the brain...Read more
2018 07 Nov
How artificial intelligence is about to transform radiological research and clinical care. Big data and deep learning techniques are increasingly being applied to radiological problems, where they serve as powerful complements to traditional study designs. The concept of artificial intelligence (AI) has been around for more than 50...Read more
2018 07 Nov
Researchers in the United States trained a convolutional neural network (CNN) – a deep learning technique – to detect signs of pneumonia in chest x-rays from three large U.S. hospital systems, individually and in combination. Overall, the researchers found that the CNN models showed a significant reduction in accuracy when tested on data from outside...Read more
2018 31 May
TeraRecon today announced that its first-of-kind Northstar™ AI Explorer has reached a new milestone that allows physicians to interact with individual measurements, markings, and findings created by AI image processing algorithms. To demonstrate the potential of these AI-assisted workflows, the company is previewing an end-to-end cardiac MR analysis...Read more
2018 23 May
Where is eHealth in Ireland heading and where could it lead us? Examining the state of eHealth, its challenges and opportunities at the European Association of Hospital Managers congress in Dublin. With digital innovations dramatically transforming every layer of the healthcare landscape, intensive discussions are required to manage...Read more
2018 08 May
Artificial intelligence (AI) and deep learning have been met with great interest by the medical community. Particularly in the field of radiology, however, the arrival of AI has been met with responses ranging from cautious scepticism to outright fear and hostility, notes an Opinion article in the Journal of the American College of Radiology. "Such...Read more
2018 02 Apr
Rapid advances in artificial intelligence, including deep learning, are a major factor behind improvements in medical image analysis. Some deep learning models have shown their ability to identify pathologies in radiological images such as bone fractures and potentially cancerous lesions, in some cases more reliably than an average radiologist. With...Read more
2018 20 Feb
Human-machine collaboration is key. Should radiologists be buying into the hype about artificial intelligence? HealthManagement spoke to Prof.Paul Chang about AI, deep learning and the advantages of intellectual arbitrage. How are artificial intelligence (AI) and deep learning shaping radiology? In healthcare in general, and radiology...Read more
2018 25 Jan
Radiology facing its future head on. An overview of how smart tools such as artificial intelligence should perhaps not be feared, but rather accepted and embraced. The future of radiology is indeed a hot topic in healthcare today. The role that smart technologies such as...Read more
2018 25 Jan
A step forward for daily practice. Artificial Intelligence (AI) tools are proving their utility in the evolving field of cardiology. However, it's necessary that cardiologists understand their full potential in order to use them efficiently in the near future. Decision making in medicine Nowadays, the decision-making process in medicine is a...Read more
2017 28 Nov
The role of deep learning (DL) and artificial intelligence (AI) within radiology continues to spark both fear and interest, yet the reality is that they are both potentially very useful technologies that will add value to the field in many ways. During a session at the RSNA 2017 Congress in Chicago, USA, Dr. Paul Chang, MD, of the...Read more