Human-AI teams improve healthcare only when clinicians stay in control

A scoping review in *npj Digital Medicine* has confirmed the bleeding obvious: human-AI collaboration in healthcare works only when clinicians stay in control. So after billions of dollars in investment and countless breathless press releases about AI diagnosing cancer better than doctors, it turns out that the best way to use the thing is as a slightly smarter spreadsheet that you still have to double-check. The study explicitly supports WHO and EU regulations requiring human oversight—which is regulatory-speak for 'we tried letting the robot do it alone and people died.'

The review notes that AI systems perform well in controlled settings but falter in the wild without a human safety net. You don't say. It's almost as if medicine involves messy, contextual decisions that a statistical autocomplete can't handle. The findings also warn about 'automation bias'—clinicians trusting the AI even when it's wrong—which is a fancy way of saying that professionals become rubber-stampers when handed a machine that sounds confident. And the tech industry wants to put these things in charge of everything.

So here's your recap: AI can help sometimes, but only if you ignore every sales pitch about autonomous everything. The WHO and EU look positively prescient for insisting on oversight, while labs continue to sell the dream of replacing doctors. But don't worry—I'm sure the next study will find that AI works best when it's completely unplugged and clinicians just use their brains. Small victories.