Research
Google details physician-supervised AMIE patient-intake study and next trials
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Google researchers say conversational AI gathered patient histories before clinic visits; their feasibility study had direct physician oversight and did not test impact against a control group.
Google researchers described on October 20 how their AMIE conversational medical AI was used to collect patient histories before real clinical appointments. Participants could chat with the system in advance, and AMIE passed a summary of their clinical history to the physician for review.
Researchers say every conversation was monitored by a trained doctor who could intervene if necessary, but no such intervention was needed in the study. The project explored whether an AI system could help clinicians spend more of the consultation discussing concerns and treatment choices rather than collecting basic details.
The earlier prospective feasibility study involved 100 adults who completed a pre-visit chat, of whom 98 attended their scheduled primary-care appointments, according to Google Research. Google also reports that blinded clinical evaluators found broadly comparable differential-diagnosis and management-plan ratings, while physicians scored better on the practicality and cost effectiveness of their plans.
These results should not be interpreted as proof that AMIE improves routine healthcare outcomes. The study took place at a single center, used live physician supervision and did not include a controlled comparison against usual clinical intake workflows. Google says its next work will expand to larger controlled studies and explore spoken and video interactions.
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Ask a Scientist: How can AI help doctors spend more time on collaborative care?
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Exploring the feasibility of conversational diagnostic AI in a real-world clinical study
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