A machine learning-powered smartphone application could help patients with a chronic cough document their symptoms over an extended period of time, according to new findings published in Digital Biomarkers.

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.

An AI-powered wearable sensor can detect changes in heart failure patients before an actual crisis occurs, according to new findings published in Circulation: Heart Failure.

Nocturnal enuresis (NE), or bedwetting, affects up to 20% of 5-year-old children and 5% of 10-year-old children.

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.

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

Researchers have developed a cost-effective technique for breast cancer screening that does not require radiation exposure.

Close to 1 in 4 Americans would be willing to use a healthcare AI tool, app or technology as long as it met one criterion: lowering the cost of their care.

As AI continues to make a profound impact on the medical imaging industry, the FDA is hosting a two-day public workshop to discuss the benefits and risks of this powerful technology.

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