Doctors are from Venus, Data Scientists from Mars – or Why AI/ML is Moving so Slowly in Healthcare?
The world of healthcare may look like the most fertile field for AI/ML apps but in practice it’s fraught with barriers. These range from cultural differences, to the failure of developers to really understand the environment they are trying to enhance, to regulatory and logical Catch 22s that work against adoption. In this article we explore the reasons why adoption is moving so slowly.
Read the full article via Data Science Central.
