Summary: 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. Part 3 of… Read More »Doctors are from Venus, Data Scientists from Mars – or Why AI/ML is Moving so Slowly in Healthcare