Researchers out of Wuhan, China, have developed a new AI-based quality improvement system for colonoscopies, sharing their findings in The Lancet: Gastroenterology & Hepatology.

GYANT, a San Francisco-based healthcare technology company, has launched an expanded partnership with Cleveland Clinic aimed at improving patient communication.

Cancer patients are often expected to wait before starting radiation therapy so that a full treatment plan can be developed. Could AI help prevent such delays? 

AI is making a monumental impact on the way radiologists and other imaging specialists deliver care, but some providers still can’t afford to make the necessary investments at this time.  

When AI first started gaining popularity in healthcare, many providers were critical, skeptical or just avoided learning about the technology altogether. However, according to a new analysis, the time has come for cardiologists to step up and pay close attention.

AppliedVR, a Los Angeles-based virtual reality (VR) company, has announced a new research project focused on improving care for Medicaid patients and other vulnerable populations. 

The first person diagnosed with the deadly Wuhan coronavirus in the United States is receiving care from a small team of healthcare providers and an advanced robot.

AI models can be trained to predict outcomes for patients receiving thrombolysis for acute ischemic stroke (AIS), according to a new study published in the Journal of the Neurological Sciences.

The Wuhan coronavirus has already infected thousands of people around the world, with its death toll quickly approaching triple digits. Can AI prove to be a valuable tool in studying the spread of such illnesses?

When research teams are developing deep learning models, they have to make certain decisions about the image resolutions used in their work. For instance, should they always aim to use the largest images possible? Or are there times when smaller images can get the job done?