Unsurprising. Though the average (and completely understandable) opinion is that a trained person’s intuition can’t be matched by a unfeeling, “methodical” machine, I would say that this type of AI is actually the perfection of a trained person’s intuition- it’s a way of arriving at a best guess, put together by the unconscious weighting a large amount of data accumulated over a long period of time.
I would imagine there there will be enormous pushback to this method of diagnosis, because these AI systems are being applied to a very critical knowledge industry, where people’s live’s are at stake, without fist gaining the public’s trust in less critical applications. So then why are these systems being developed for medical use before they’re able to do something more “simple”, like decide what kind of campaign a marketing company should employ for their client?
Quite simply, it’s the dataset. I can’t think of any other knowledgebase that would be so broad, detailed and complete than medical records. And any real-world AI application, no matter how advanced the algorithm, will always be bound by dataset quality.
Next question: how does facility layout and room design change when this job is outsourced to an entity with no human-scale spatial requirements?