At East Tech West 2019, an annual healthcare technology retreat in China hosted by CNBC, industry leaders from all over the world gathered to discuss a variety of topics.

Lunit, a medical software company based out of South Korea, has gained CE certification for its newest chest x-ray analysis solution, Lunit INSIGHT CXR.

Winterlight Labs, a Toronto-based healthcare technology company, has raised $5.6 million CAD ($4.2 million USD) in a new funding round led by Hikma Ventures.

RSNA 2019 in Chicago is just days away, and the continued evolution of AI in radiology promises to be one of the hottest topics of the entire conference.

After completing numerous dry runs on a 3D printed skull and in a virtual reality suite, Stanford neurosurgeons have performed the first-ever minimally invasive tumor resection in the brain of a small child.

Deep learning models can be trained to predict lymph node metastasis in breast cancer patients, according to new findings published in Radiology.

AI can provide significant value to radiologists by sending urgent imaging studies to the top of their worklists, according to a new analysis published in Academic Radiology.

The rapid rise of AI could potentially change healthcare forever, leading to faster diagnoses and allowing providers to spend more time communicating directly with patients. According to a new report from the Brookings Institution, however, there are also risks associated with AI in healthcare that must be addressed.

Google was hoping to release a massive dataset of chest x-rays to the public in 2017, but had to cancel at the last minute after receiving an urgent call from the National Institutes of Health (NIH).   

Researchers working for the U.S. government have used deep learning to evaluate stem cell-derived tissue samples, sharing their findings in the Journal of Clinical Investigation.