AI models may make robotic interactions much more beneficial for children with an autism spectrum disorder (ASD), according to new research published in Social Robotics.

Nuance Communications has launched a new ambient clinical intelligence solution designed to improve the quality of hospital visits for both physicians and patients.  

Boston Children’s Hospital developed an online resource, HealthMap, for monitoring outbreaks using real-time surveillance—and now that technology is being used to track the spread of the Wuhan coronavirus, or COVID-19.

The Consumer Technology Association (CTA) has developed a new standard for the use of AI in healthcare, working with representatives from more than 50 organizations impacted by this evolving technology.

A new “super nurse” designed using AI technology, advanced sensors and cameras is now collecting patient data at Israel’s Tel Aviv Sourasky Medical Center.

Blockchain technology may help the pharmaceutical industry achieve a substantial goal.

Machine learning could play a significant role in the future treatment of schizophrenia patients, according to new research published in JAMA Network Open.

When Brevin Cronk found himself in an emergency room last December, his blood-oxygen level was 77% and his lips had turned blue. It was soon determined by the team at UW Medical Center in Seattle that a transcatheter repair was necessary—and virtual reality (VR) played a key role in Cronk’s care.

A new AI-powered temperature screening system is hitting the streets of Singapore to help fight against the ongoing coronavirus (COVID-19) outbreak.

Researchers have developed a new “time machine” capable of mimicking the behavior of pancreatic cancer, sharing their findings in Small.

DSP-1181, a pharmaceutical drug created by AI technology, has entered phase 1 clinical trials in Japan. This is the first time an AI-made drug has reached this point in the development process.

AI promises to make a titanic impact on radiology, but most of the attention tends to focus on its ability to identify important findings in medical images. What about the technology’s non-interpretive qualities?