By Hugo Francisco de Souza A massive new multimodal AI system trained on tens of millions of medical images could help unify fragmented radiology tools and assist doctors in interpreting scans and ...

Radiology departments are under constant pressure to do more — faster turnaround times, higher imaging volumes, and increased quality and accuracy. Affordable workflow optimization tools for radiology ...

AI-ready data is the foundation for the next generation of radiology tools. As healthcare systems face mounting imaging volumes and increasing complexity, the ability to harness high-quality, ...

How can artificial intelligence (AI) help in improving radiology methods throughout the healthcare industry? This is what a recent study published in Radiology: Artificial Intelligence hopes to ...

In the nine years since AlexNet spawned the age of deep learning, artificial intelligence (AI) has made significant technological progress in medical imaging, with more than 80 deep-learning ...

Alphabet's (NASDAQ:GOOG) Google Cloud business and Bayer (OTCPK:BAYZF) announced a partnership on Tuesday to develop artificial intelligence (AI)-powered solutions for the benefit of radiologists. The ...

In 2017, Ezekiel Emanuel, a well-known oncologist and health policy commentator, said radiologists would soon be out of work thanks to machine learning. That hasn’t happened, but although artificial ...

The American College of Radiology ® (ACR ®), working in close collaboration with four other radiology societies from around the world, have issued a joint statement on the development and use of ...

AI-powered radiology tools aren't yet ready to make diagnoses; they must return accurate results and save time to be truly useful to burned-out radiologists, says Dr. Benoit Desjardins, University of ...

Add Yahoo as a preferred source to see more of our stories on Google. Picture this: a painless, radiation-free scan that can look inside your body in real time. From monitoring pregnancies to ...