A visit to the doctor seems one-on-one. An intimate meeting and a sharing of secrets.

But how will that feeling change when the data gleaned from that interaction takes on unprecedented value?

It's a question that doctors and health regulators are grappling with as algorithms learn how to spot pneumonia, and health data becomes the chaff needed to train artificial intelligence.

"Previously, the patient is agreeing to supply their very intimate personal information ... to the doctor to help with the diagnosis and management of their own health," said Jacob Jaremko, an associate professor in radiology and diagnostic imaging at the University of Alberta.

This issue is particularly pertinent for radiologists, whose work in the form of CT scans, ultrasounds and X-rays, is already heavily digitised and useful for training systems.

Should those whose data is used to train AI receive a material benefit? And how much control should they have?

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