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The integration of clinical AI tools into health care faces both
skepticism and potential promise. Many physicians, although aware
of these tools, remain cautious due to doubts about their quality
and safety. Concerns regarding whether AI truly enhances patient
care persist, necessitating more robust analysis. However, the rise
of generalist medical AI, powered by extensive data and adaptable
for various tasks, offers some hope.
Surveys show that although many physicians are aware of
clinical AI tools, only a small proportion — between 10% and
30% — has actually used them. Attitudes range from cautious
optimism to an outright lack of trust…
But excitement does seem to be growing about an approach
sometimes called generalist medical AI. These are models trained on
massive data sets, much like the models that power ChatGPT and
other AI chatbots. After ingesting large quantities of medical
images and text, the models can be adapted for many tasks. Whereas
currently approved tools serve specific functions, such as
detecting lung nodules in a computed tomography (CT) chest scan,
these generalist models would act more like a physician, assessing
every anomaly in the scan and assimilating it into something like a
diagnosis.
www.nature.com/…
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