AI misinformation a real patient risk | How brains and computers see things

It is well known that AI has the potential to upend several areas of medicine, including targeted treatment and diagnostics. However, a lack of knowledge about AI in the healthcare space could have a negative effect, through the spread of misinformation––and fake news.

Researchers studying the basis of visual recognition in two distinct disciplines—computer science and brain science—have put their heads together to advance both fields at once.

Accenture, a global professional services company, has teamed up with Stockholm Exergi, one of Sweden’s largest energy suppliers, to put AI to the test in a new project aimed at addressing loneliness among seniors.

Drug development is on the cusp of becoming considerably faster, smarter and all-around better.

Options are increasing for healthcare consumers looking to check their symptoms with an AI digital platform for self-diagnosis. However, research into the use, accuracy and regulation of these technologies is woefully scant.

A pilot that aims to study the use of blockchain-enabled data technology to track and verify specialty prescription drugs has been approved by the FDA.

The boom in the emergence of AI and other innovative technologies in the healthcare space comes with a new risk: the expense of human contact.