Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
MedGemma 27B Multimodal (google/medgemma-27b-it) is the largest and most capable variant in Google's MedGemma family - a collection of Gemma 3-based models purpose-trained for medical text and image comprehension.
This listing packages the model as a fully managed Amazon SageMaker real-time endpoint, deployable with a single click. No infrastructure setup, no model packaging, and no HuggingFace dependencies at runtime.
Show the rest of the publisher’s description (14 more lines)
Key capabilities:
- Medical image comprehension: chest X-ray, dermatology, histopathology, ophthalmology, and radiology image analysis
- Clinical text reasoning: medical question answering, differential diagnosis support, and clinical summarization
- FHIR-based EHR understanding: the only MedGemma variant trained on FHIR electronic health record data, enabling structured patient record comprehension
- Test-time scaling: optimized inference-time computation for stronger medical reasoning vs. the 4B variant
Use cases supported:
- Clinical decision support tools
- Radiology report generation and review assistance
- Dermatology image triage
- EHR data extraction and summarization
- Medical education and training applications
- Healthcare application prototyping and research
Important: This model is intended to assist healthcare developers and researchers. It is not a certified medical device and should not be used as a standalone clinical diagnostic tool. Regulatory compliance is the responsibility of the deploying organization.
This product is governed by the Google Health AI Developer Foundations (HAI-DEF) Terms of Use. By subscribing, you agree to flow down these restrictions to your end users.
Highlights
Highlighted by the publisher on AWS Marketplace.
Multimodal medical AI in one click: MedGemma 27B Multimodal - Google's most capable open medical model - deployed as a fully managed SageMaker endpoint. Supports radiology, dermatology, histopathology, and ophthalmology image analysis alongside clinical text reasoning. No infrastructure setup required.
OpenAI-Compatible API via vLLM - Zero SDK Changes for Your App: Served by vLLM with a native /v1/chat/completions endpoint. Integrate using the OpenAI Python SDK, LangChain, or any HTTP client - no custom wrappers needed.
Deploy in minutes: Zero infrastructure management
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Plans and pricing as listed
6 listed- HostHrs
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Refund terms
As stated by the publisher on AWS Marketplace.
Currently we do not support refunds, but you can cancel your subscription to the service at any time.
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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