Writing in the BMJ, Kevin Fong argues that framing artificial intelligence in medicine as a straight choice between opportunity and risk misses the point entirely.
The British Medical Journal has published a commentary pushing back against what its author sees as a false divide in how AI’s role in healthcare gets discussed. Kevin Fong, writing for the BMJ, argues that the technology doesn’t force a binary choice between seizing its potential and keeping patients safe — and that treating it as such may itself be a problem.
Meanwhile, the piece doesn’t dismiss the uncertainty. Fong acknowledges directly that how rapidly, how successfully, and how safely AI might change medical practice remains deeply unclear.
But that uncertainty, he suggests, isn’t a reason to retreat to simple either/or positions.
The commentary arrives as health services across the UK are weighing how — and whether — to bring AI tools into clinical settings, from diagnostic imaging to patient triage. The BMJ, as the UK’s leading general medical journal, regularly publishes opinion and analysis pieces that shape professional debate, though commentary articles represent the views of their authors rather than the journal as a whole.
Fong doesn’t set out a definitive answer on where AI belongs in healthcare. The argument is narrower than that: that the conversation itself needs reframing, away from a choice between two poles and towards something that holds both possibility and caution at the same time.
Whether that reframing takes hold in NHS policy or clinical practice nobody knows yet.
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Source: @bmj_latest