AI models can predict when patients may be at an increased risk of in-hospital mortality, according to new research published in JAMA Network Open. If implemented, such models could be used to help healthcare providers improve decision-making and deliver better patient care.

Caption Health, a California-based AI company, has received authorization from the FDA to market its software solution for acquiring echocardiography images in the United States.

AI algorithms can help radiologists achieve a “significant improvement” in their ability to detect breast cancer, according to a new study published in The Lancet Digital Health.

Healthcare researchers are focusing more and more on the potential benefits of blockchain technology, a trend explored by the authors of a new analysis in the International Journal of Medical Informatics.

macro-eyes, a Seattle-based healthcare company, has received $2.2 million from the Bill & Melinda Gates Foundation to improve healthcare access in Tanzania and Mozambique with its Connected Health AI Network (CHAIN) technology.

Generative adversarial networks (GANs), a fairly new breakthrough in AI, are capable of creating fake images that look incredibly real.

According to a new AI simulation, the Wuhan coronavirus could kill 52.9 million people within 45 days—and infect 2.5 billion overall.

Numerous robots have been used by healthcare workers battling the ongoing Wuhan coronavirus outbreak—but is such a precaution always necessary?

Researchers have developed a smart patch for insulin delivery, publishing their findings in Nature Biomedical Engineering.

Machine learning (ML) can provide significant value in the field of palliative care. However, researchers still have a lot of unexplored ground to cover before the technology reaches its full potential.