
AMIE is Google’s research program for AI-assisted medical dialogue, reasoning and care interactions, including multimodal and longitudinal research.
AMIE is Google’s research program for AI-assisted medical dialogue, reasoning and care interactions, including multimodal and longitudinal research.
The research covers diagnostic conversation, images, real-time video and longer-term care scenarios. Clinical feasibility studies extend earlier simulated evaluations, but the system remains research rather than an independently practising clinician.
Access is through research studies and collaborations. There is no ordinary patient or clinician self-service deployment path in the published project materials.
Follow AMIE for medical AI research; use established care services for personal medical decisions and clinical deployment needs.
Product overview
AMIE is Google’s research program for AI-assisted medical dialogue, reasoning and care interactions, including multimodal and longitudinal research.
Information as of November 7, 2026
The research covers diagnostic conversation, images, real-time video and longer-term care scenarios. Clinical feasibility studies extend earlier simulated evaluations, but the system remains research rather than an independently practising clinician.[1], [2]
Access is through research studies and collaborations. There is no ordinary patient or clinician self-service deployment path in the published project materials.[1], [2]
Multimodal research inputs are not evidence of a public EHR, Teams or developer API integration. Clinical workflow connections depend on the study setting.[1], [2]
This May 2025 overview covers the multimodal research announcement; the project has since expanded its clinical research.[3]
No generally purchasable AMIE subscription or clinical software price is published. Research results do not establish a current consumer offer.[1], [2]
Platforms: Research or institutional access[1], [2]
Access: Access is through research studies and collaborations. There is no ordinary patient or clinician self-service deployment path in the published project materials.[1], [2]
66/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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