MedGemma

JSON twin: https://www.healthaidb.com/software/medgemma.json

Company Name

Google DeepMind

Product URL

https://deepmind.com/models/gemma/medgemma/

Company URL

https://deepmind.com

Categories

• clinical Care
• diagnostic Support
• administrative Operations
• patient Facing
• clinical Research
• clinical Decision Support
• imaging Software
• ai Clinical Documentation Integrity
• healthcare Platform
• Clinical
• Diagnostic
• Administrative
• Research
• Decision Support
• Image Analysis
• Text Analysis
• Ai Models
• Healthcare Applications

Summary

MedGemma is a suite of AI models developed by Google DeepMind for processing medical text and images, enhancing healthcare applications with advanced AI capabilities.

Description

MedGemma comprises two primary models: the 4B multimodal model, which processes both medical images and text, and the 27B text-only model, optimized for deep medical text comprehension and clinical reasoning. These models are designed to assist in tasks such as medical image classification, interpretation, report generation, and clinical decision support. They are accessible through platforms like Hugging Face and Google Cloud, enabling developers to integrate advanced AI into healthcare applications. MedGemma was announced in May 2025 as part of Google's Health AI Developer Foundations initiative, aiming to democratize access to advanced medical AI technology and support the development of innovative healthcare solutions.

Api Available

yes

Certifications

• FDA 510(k)
• CE/MDR
• ONC
• ISO 13485

Company Founding

2010

Company Offices

• United States
• United Kingdom
• Canada
• Germany
• France
• India
• China
• Japan
• South Korea
• Australia

Compliance

• HIPAA
• GDPR
• HITECH
• SOC 2
• ISO 27001

Customers

Data Residency

US/EU regions

Data Standards

• FHIR
• HL7 v2
• DICOM
• SNOMED
• ICD-10

Deployment Model

• SaaS
• on_prem
• hybrid

Features

• Medical image classification (radiology, pathology, etc.)
• Medical image interpretation and report generation
• Medical text comprehension and clinical reasoning
• Patient preclinical interviews and triaging
• Clinical decision support and summarization

Id

SW1767

Integration Partners

Integrations

• Hugging Face
• Google Cloud
• Vertex AI
• Model Garden

Languages Supported

• English
• Spanish
• French
• German
• Italian
• Portuguese
• Dutch
• Russian
• Chinese
• Japanese
• Korean
• Arabic
• Hindi
• Bengali
• Punjabi
• Telugu
• Marathi
• Tamil
• Urdu
• Gujarati

Last Updated

2025-10-11

License

commercial

Market Segment

• enterprise
• smb
• consumer

Optional Modules

• Advanced AI models
• Unlimited conversations
• Professional medical image analysis

Os Platforms

• Web
• iOS
• Android
• Windows
• macOS
• Linux

Pricing Details

MedGemma models are available for free through platforms like Hugging Face and Google Cloud, with options for paid enterprise support and additional features.

Pricing Model

free

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW1767

Product Name

MedGemma

Ratings

Regions Available

• United States
• Canada
• United Kingdom
• Germany
• France
• Italy
• Spain
• Australia
• Japan
• South Korea
• India
• China
• Brazil
• Mexico
• South Africa
• Nigeria
• Egypt
• Russia
• Saudi Arabia
• United Arab Emirates

Related Urls

• https://elion.health/categories/large-language-models/products
• https://ton.diamonds/collection/telegram-usernames/mbp-medgemini
• https://elion.health/products/medgemini

Release Year

Security Features

• Encryption
• RBAC
• SSO/SAML
• Audit logs
• 2FA

Specialties

• Radiology
• Pathology
• Dermatology
• Ophthalmology
• General Medicine
• Oncology
• Cardiology
• Neurology
• Orthopedics
• Pediatrics
• Geriatrics
• Psychiatry
• Pulmonology
• Gastroenterology
• Endocrinology
• Hematology
• Infectious Diseases
• Rheumatology
• Urology
• Obstetrics And Gynecology

Support Channels

System Requirements

GPU with at least 16 GB VRAM

Target Users

• clinicians
• nurses
• patients
• admins
• researchers
• developers

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "MedGemma",
  "company_name": "Google DeepMind",
  "product_url": "https://deepmind.com/models/gemma/medgemma/",
  "company_url": "https://deepmind.com",
  "related_urls": [
    "https://elion.health/categories/large-language-models/products",
    "https://ton.diamonds/collection/telegram-usernames/mbp-medgemini",
    "https://elion.health/products/medgemini"
  ],
  "product_code": "SW1767",
  "summary": "MedGemma is a suite of AI models developed by Google DeepMind for processing medical text and images, enhancing healthcare applications with advanced AI capabilities.",
  "description": "MedGemma comprises two primary models: the 4B multimodal model, which processes both medical images and text, and the 27B text-only model, optimized for deep medical text comprehension and clinical reasoning. These models are designed to assist in tasks such as medical image classification, interpretation, report generation, and clinical decision support. They are accessible through platforms like Hugging Face and Google Cloud, enabling developers to integrate advanced AI into healthcare applications. MedGemma was announced in May 2025 as part of Google's Health AI Developer Foundations initiative, aiming to democratize access to advanced medical AI technology and support the development of innovative healthcare solutions.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "administrative Operations",
    "patient Facing",
    "clinical Research",
    "clinical Decision Support",
    "imaging Software",
    "ai Clinical Documentation Integrity",
    "healthcare Platform",
    "Clinical",
    "Diagnostic",
    "Administrative",
    "Patient-facing",
    "Research",
    "Decision Support",
    "Image Analysis",
    "Text Analysis",
    "Ai Models",
    "Healthcare Applications"
  ],
  "market_segment": [
    "enterprise",
    "smb",
    "consumer"
  ],
  "target_users": [
    "clinicians",
    "nurses",
    "patients",
    "admins",
    "researchers",
    "developers"
  ],
  "specialties": [
    "Radiology",
    "Pathology",
    "Dermatology",
    "Ophthalmology",
    "General Medicine",
    "Oncology",
    "Cardiology",
    "Neurology",
    "Orthopedics",
    "Pediatrics",
    "Geriatrics",
    "Psychiatry",
    "Pulmonology",
    "Gastroenterology",
    "Endocrinology",
    "Hematology",
    "Infectious Diseases",
    "Rheumatology",
    "Urology",
    "Obstetrics And Gynecology"
  ],
  "regions_available": [
    "United States",
    "Canada",
    "United Kingdom",
    "Germany",
    "France",
    "Italy",
    "Spain",
    "Australia",
    "Japan",
    "South Korea",
    "India",
    "China",
    "Brazil",
    "Mexico",
    "South Africa",
    "Nigeria",
    "Egypt",
    "Russia",
    "Saudi Arabia",
    "United Arab Emirates"
  ],
  "languages_supported": [
    "English",
    "Spanish",
    "French",
    "German",
    "Italian",
    "Portuguese",
    "Dutch",
    "Russian",
    "Chinese",
    "Japanese",
    "Korean",
    "Arabic",
    "Hindi",
    "Bengali",
    "Punjabi",
    "Telugu",
    "Marathi",
    "Tamil",
    "Urdu",
    "Gujarati"
  ],
  "pricing_model": "free",
  "pricing_details": "MedGemma models are available for free through platforms like Hugging Face and Google Cloud, with options for paid enterprise support and additional features.",
  "license": "commercial",
  "company_offices": [
    "United States",
    "United Kingdom",
    "Canada",
    "Germany",
    "France",
    "India",
    "China",
    "Japan",
    "South Korea",
    "Australia"
  ],
  "company_founding": "2010",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Medical image classification (radiology, pathology, etc.)",
    "Medical image interpretation and report generation",
    "Medical text comprehension and clinical reasoning",
    "Patient preclinical interviews and triaging",
    "Clinical decision support and summarization"
  ],
  "optional_modules": [
    "Advanced AI models",
    "Unlimited conversations",
    "Professional medical image analysis"
  ],
  "integrations": [
    "Hugging Face",
    "Google Cloud",
    "Vertex AI",
    "Model Garden"
  ],
  "data_standards": [
    "FHIR",
    "HL7 v2",
    "DICOM",
    "SNOMED",
    "ICD-10"
  ],
  "api_available": "yes",
  "system_requirements": "GPU with at least 16 GB VRAM",
  "compliance": [
    "HIPAA",
    "GDPR",
    "HITECH",
    "SOC 2",
    "ISO 27001"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE/MDR",
    "ONC",
    "ISO 13485"
  ],
  "security_features": [
    "Encryption",
    "RBAC",
    "SSO/SAML",
    "Audit logs",
    "2FA"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW1767",
  "slug": "medgemma",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/medgemma.json"
  }
}