AI specialists contribute supplies for combating coronavirus

Group 42, an Abu Dhabi-based AI technology company, has announced its efforts to help healthcare workers battling the Wuhan coronavirus outbreak in China.

The company is supplying hundreds of thousands of surgical masks, gloves and other goods essential for detecting, treating and preventing the deadly disease. In addition, Group 42 is providing workers with portable diagnostic kits to help search for an effective treatment for coronavirus. It is also focused on protecting UAE’s borders, leveraging its AI capabilities and collaborating with local authorities.

This decision to help out, according to a prepared statement, was inspired by the UAE’s “tradition of playing the role of a responsible global citizen whenever catastrophes struck any part of the world.”

“As the virus emergency escalates, we feel compelled to make our expertise and resources available to those in need,” Peng Xiao, CEO of Group 42, said in the statement. “Our team is actively working with our partners to support local and foreign authorities in a collective effort to curb the spread of the disease and to help discover a cure in the shortest possible time.”

Michael Walter
Michael Walter, Managing Editor

Michael has more than 18 years of experience as a professional writer and editor. He has written at length about cardiology, radiology, artificial intelligence and other key healthcare topics.

Around the web

Compensation for heart specialists continues to climb. What does this say about cardiology as a whole? Could private equity's rising influence bring about change? We spoke to MedAxiom CEO Jerry Blackwell, MD, MBA, a veteran cardiologist himself, to learn more.

The American College of Cardiology has shared its perspective on new CMS payment policies, highlighting revenue concerns while providing key details for cardiologists and other cardiology professionals. 

As debate simmers over how best to regulate AI, experts continue to offer guidance on where to start, how to proceed and what to emphasize. A new resource models its recommendations on what its authors call the “SETO Loop.”