Medicine’s over-generalization problem — and how AI might make things worse

Medicine’s over-generalization problem — and how AI might make things worse

In medicine, there’s a well-known maxim: never say more than your data allows. It’s one of the first lessons learned by clinicians and researchers. Journal editors expect it. Reviewers demand it. And medical researchers mostly comply. They hedge, qualify and narrow their claims — often at the cost of clarity. Take this conclusion, written to mirror the style of a typical clinical trial report: “In a randomized trial of 498 European patients wit…