multimodal LLM
AMIE
Google research system for diagnostic dialogue, extended to video consultations on 11 Aug 2026 and tested in a randomized study with simulated patients. Not clinically deployed.
Levelmodel
Classmultimodal LLM
Parametersnot in the notes
Contextnot in the notes
Releasednot in the notes
Opennessproprietary
Runs onnot in the notes
Statuspreview
Lineage
product ofsuccessor
Gemini is the parent (product of)high confidencepress claimMed-PaLM 2 is the parent (successor)low confidencenotesWhere this comes from
Parent and child relations from model cards, Hugging Face base_model fields and the genealogy tables of the research notes. The tree shows two generations each way, 3 models. Confidence and evidence are the notes' own.
Industry Use Cases
Healthcare
Clinical LLM (frontier proprietary)R&D Topics
Identity
- Developer
- Google, Google DeepMind
- Family
- not in the notes
- Released
- – sources
- Weights published
- –
- Record checked
- 10 Oct 2026
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- not in the notes Multi-agent research system built on Gemini and Project Astra
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- text, video
- Output
- text
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- proprietary
- Licence
- Proprietary sources
- Access routes
- research only
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- not in the notes
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Links
ModelAMIEGoogle, multimodal LLM
AMIEGoogle, multimodal LLMR&D TopicsDomain Adaptation (Vertical Models)Medical Vision-Language ModelsVideo Understanding with Language Models
Who Runs It
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026Novo NordiskIn production, 11 Jan 2026+13 moreDeployments of these use cases; none names this model.
Banner HealthIn production, 11 Jan 2026CommureIn production, 11 Jan 2026FlatironIn production, 11 Jan 2026Novo NordiskIn production, 11 Jan 2026+13 moreDeployments of these use cases; none names this model.R&D topics 3
Domain Adaptation (Vertical Models)Training or tuning models for a sector.produced byVideo Understanding with Language ModelsVision-language models that summarise, search and answer questions about long videos.produced byMedical Vision-Language ModelsMultimodal models that read medical images and text to answer clinical questions and draf…produced by
Sources
- AMIE, our research medical AI system, demonstrates real-time clinical video consultation capabilities in a first-of-its-kind study. blog.google https://blog.google/innovation-and-ai/models-and-research/google-research/amie-video-consultations/
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "AMIE", https://aurion.semai.id/models/google-amie/, records of October 2026.