The past decades have been characterized by fantastic progress in medical hardware and the innovations have enabled significant progress in radiologists’...
Equipped with a strong team of machine learning engineers and medical experts from prestigious hospitals, BioMind™ envisions to scale healthcare specialist...
The hype around AI is slowly starting to fade and something a lot more exciting is emerging; the first AI solutions that create value in your clinical...
Radiological analysis of the brain is complicated, time-consuming, and requires years of experience. In brain disorders like stroke, every minute counts....
50,000. That is the number of images a radiologist can see every day. A figure almost impossible to grasp or believe, processing such a large amount of data...
Traumatic Brain Injury (TBI) is a complex neurological condition that requires fast decision-making in the emergency room. Some lesions need immediate...
Infervision is a high-tech company specialized in medical AI and committed to applying deep learning technology to assist medical image diagnosis. Infervision...
From why imaging studies are ordered to how they are produced, analysed, interpreted and followed up on, artificial intelligence (AI) is enabling radiology...
Ask any radiologist, and they will tell you medical image data is on the rise; diagnostic imaging procedures are expected to increase 10-12% annually in...
Welcome to the blog on Artificial Intelligence of the European Society of Radiology
This blog aims at bringing educational and critical perspectives on AI to readers. It should help imaging professionals to learn and keep up to date with the technologies being developed in this rapidly evolving field.
