Caption Guidance serves as an accessory to certain diagnostic systems, aiding clinicians in capturing high-quality cardiac scans.
South Korean researchers recently tested the clinical tool in a retrospective study of more than 170,000 mammography exams.
Chun Yuan beat out the competition by using cloud-computing tools and AI to predict cardiovascular risk through magnetic resonance knee scans.
Disrupters such as Google and Walmart are turning healthcare upside down, and imaging is no exception.
A new deep learning tool, developed by UT Southwestern, could potentially eliminate harmful delays in the delivery of radiation therapy.
Ohad Arazi will assume the role of chief executive at the Israel-based company on March 1, replacing co-founder Eyal Gura.
This is the fourth such approval for Tel Aviv, Israel-based Aidoc, which now offers a full package of AI tools to allow for quicker identification of the event.
The tech company has been working alongside Northwestern University and several U.K. institutions for years to develop the model.
This deep neural network was able to extract vast amounts of data from images and deduce a higher cancer risk association when compared to even the best mammographic breast density model.
The federal agency responsible for clearing new artificial intelligence algorithms wants to better understand the pitfalls of this technology’s burgeoning use in imaging.
European researchers have trained and validated an algorithm for quantifying prostate measurements on PET/CT scans.
If practices make the right moves around technology, the business outcome will help lift the specialty’s value and expand its markets.