Search Tag: deep learning
Radiology-s-future-outside-the-box-literally
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
Rsna18-ai-may-help-reduce-mri-gadolinium-dose
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
Neural-network-trained-to-interpret-chest-x-rays
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
Ai-and-radiology-collaboration-is-key
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
Ai-to-enhance-not-replace-radiologists-jobs
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
Deep-learning-to-redefine-the-role-of-radiology-dr-paul-chang-reports-during-rsna-2017-congress
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