What happened
Deloitte Tohmatsu surveyed 561 doctors at Japanese medical institutions in March and found 51% use generative AI to gather information when selecting treatments, with especially heavy use in cancer.
Why it matters
The finding suggests AI is already shaping clinical decision-making at the information-gathering stage, and the cancer-area concentration points to where reliance may be deepest, though the type of AI used was not examined.
WHO IT HITSThis lands on practicing physicians in Japan who gather treatment information daily, and on hospital administrators weighing how AI tools enter clinical workflows. It is most relevant to doctors handling cancer, where the survey found use to be highest.
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The survey's design gives its headline number some weight: the 561 doctors were drawn evenly from six disease areas, including lifestyle diseases and solid cancers, so the 51% figure is not skewed toward one specialty. That structure also underpins the second finding — that use is particularly common in cancer, where doctors need large amounts of information to decide on a treatment.
One limitation is explicit in the results: the survey did not examine which types of generative AI the doctors used. So the finding describes how widely AI is consulted, not which tools are involved.
The results are a snapshot of behavior in March among doctors at Japanese medical institutions, not a measure of outcomes. Still, a majority reporting AI use at the treatment-selection stage places the technology inside clinical information-gathering rather than at its edges.
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