Researchers are finalizing a new AI-powered smartphone app for assessing a user’s risk of being infected with the new coronavirus.

The newly incorporated American Board of Artificial Intelligence in Medicine (ABAIM) is soon to begin credentialing healthcare workers in AI, machine learning and deep learning.

The American College of Radiology Data Science Institute (ACR DSI) has shared an AI use case for the new coronavirus, publishing it just as the World Health Organization declared COVID-19 a pandemic.

Researchers still don’t truly understand how these algorithms work—and that’s a significant issue.

The White House has met with representatives from Amazon, Google, Facebook and other massive tech companies to see how advanced technology could help the United States slow down the spread of the new coronavirus.

AI’s impact on healthcare continues to grow, with specialties such as radiology and cardiology fully embracing the technology’s potential to modify workflows and improve patient outcomes. Family medicine physicians, however, have been slow to embrace this growing trend.

RadNet, one of the largest radiology providers in the United States, has entered into a definitive agreement to acquire DeepHealth, an imaging technology company focused on using AI to improve breast cancer screening.  

DeepMind, a London-based AI company acquired by Google back in 2014, is sharing predictions made by its advanced AlphaFold system that could help researchers learn more about the new coronavirus.

If medical AI makes a goof and causes a patient harm, the provider using the technology may be liable for malpractice. Or will the AI vendor be on the hook?

Patients are on board with AI-powered skin cancer screening, according to a new study published in JAMA Dermatology. But relationships with human physicians remain a priority.