Gemini
JSON twin: https://www.healthaidb.com/software/gemini.json
Company Name
Google
Product URL
https://health.google/ai-models/
Company URL
https://health.google
Categories
Summary
Gemini is Google's advanced AI model designed to enhance healthcare by analyzing complex medical data, including images and patient histories, to support clinicians and researchers in delivering personalized and effective care.
Description
Gemini is a family of AI models developed by Google to process and interpret diverse medical data types, such as X-rays and digital health records. By understanding complex information, Gemini assists healthcare professionals in extracting key insights, thereby improving patient care and facilitating medical research.
Api Available
yes
Certifications
- ISO 42001
- SOC 2
- FedRAMP High
- HITRUST CSF
- PCI-DSS v4.0
Company Founding
1998
Company Offices
Compliance
- HIPAA
- GDPR
- ISO 42001
- SOC 2
- FedRAMP High
- HITRUST CSF
- PCI-DSS v4.0
Customers
Data Residency
US/EU regions
Data Standards
- FHIR
- HL7 v2
- DICOM
- SNOMED
- ICD-10
- Loinc
- CPT
- ICD-11
- HL7 CDA
- HL7 CCD
Deployment Model
Features
- Multimodal AI processing
- Advanced image analysis
- Natural language understanding
- Predictive analytics
- Clinical decision support
- Patient data integration
- Medical imaging interpretation
- Genomic data analysis
- Clinical trial optimization
- Personalized treatment recommendations
- Medical literature summarization
- Disease outbreak prediction
- Patient risk stratification
- Telemedicine support
- Medical chatbot assistance
- Clinical workflow automation
- Medical coding assistance
- Patient engagement tools
- Healthcare data visualization
Id
SW2538
Integration Partners
Integrations
- Epic
- Cerner
- PACS
- FHIR
- HL7 v2
- DICOM
- SNOMED
- ICD-10
- LOINC
- CPT
- ICD-11
- HL7 CDA
- HL7 CCD
- HL7 CCD-A
- HL7 CCD-C
- HL7 CCD-D
- HL7 CCD-E
- HL7 CCD-F
- HL7 CCD-G
- HL7 CCD-H
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
Proprietary
Market Segment
Optional Modules
- MedGemma
- TxGemma
- AlphaFold
- AMIE
Os Platforms
- Web
- iOS
- Android
- Windows
- macOS
- Linux
Pricing Details
Contact vendor for pricing information.
Pricing Model
Enterprise_Quote
Privacy Features
- Business Associate Agreement (BAA)
- Data residency controls
- Data anonymization
- Data minimization
- Automated data purging
- Privacy impact assessments (DPIA)
Product Code
SW2538
Product Name
Gemini
Ratings
Regions Available
Related Urls
Release Year
""
Security Features
- End-to-end encryption
- Role-based access control (RBAC)
- Single sign-on (SSO)
- Audit logs
- Two-factor authentication (2FA)
- Data loss prevention (DLP)
- Client-side encryption
- Content safety filters
- Prompt injection defenses
Specialties
Support Channels
- email
- phone
- chat
- ticketing
- community
- 24x7
System Requirements
Google Cloud Platform
Target Users
- Clinicians
- Researchers
- Healthcare Administrators
Training Options
- documentation
- webinars
- live_online
- onsite
- certification
Type
product
User Reviews
Version
1.0
Alternatives
See related products
Canonical JSON
{
"product_name": "Gemini",
"company_name": "Google",
"product_url": "https://health.google/ai-models/",
"company_url": "https://health.google",
"related_urls": [],
"product_code": "SW2538",
"summary": "Gemini is Google's advanced AI model designed to enhance healthcare by analyzing complex medical data, including images and patient histories, to support clinicians and researchers in delivering personalized and effective care.",
"description": "Gemini is a family of AI models developed by Google to process and interpret diverse medical data types, such as X-rays and digital health records. By understanding complex information, Gemini assists healthcare professionals in extracting key insights, thereby improving patient care and facilitating medical research.",
"categories": [
"clinical Care",
"diagnostic Support",
"clinical Research",
"ai Clinical Documentation Integrity",
"clinical Decision Support",
"Clinical",
"Diagnostic",
"Research",
"Artificial Intelligence"
],
"market_segment": [
"Enterprise",
"SMB",
"Consumer"
],
"target_users": [
"Clinicians",
"Researchers",
"Healthcare Administrators"
],
"specialties": [
"Radiology",
"Oncology",
"Cardiology",
"Neurology",
"Pathology",
"Orthopedics",
"Pediatrics",
"Geriatrics",
"Obstetrics",
"Gynecology",
"Dermatology",
"Ophthalmology",
"Ent",
"Urology",
"Endocrinology",
"Pulmonology",
"Gastroenterology",
"Hematology",
"Infectious Diseases",
"Rheumatology"
],
"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": "Enterprise_Quote",
"pricing_details": "Contact vendor for pricing information.",
"license": "Proprietary",
"company_offices": [
"United States",
"United Kingdom",
"Germany",
"France",
"India",
"China",
"Japan",
"South Korea",
"Australia",
"Brazil"
],
"company_founding": "1998",
"deployment_model": [
"SaaS",
"on_prem",
"hybrid"
],
"os_platforms": [
"Web",
"iOS",
"Android",
"Windows",
"macOS",
"Linux"
],
"features": [
"Multimodal AI processing",
"Advanced image analysis",
"Natural language understanding",
"Predictive analytics",
"Clinical decision support",
"Patient data integration",
"Medical imaging interpretation",
"Genomic data analysis",
"Clinical trial optimization",
"Personalized treatment recommendations",
"Medical literature summarization",
"Disease outbreak prediction",
"Patient risk stratification",
"Telemedicine support",
"Medical chatbot assistance",
"Clinical workflow automation",
"Medical coding assistance",
"Patient engagement tools",
"Healthcare data visualization"
],
"optional_modules": [
"MedGemma",
"TxGemma",
"AlphaFold",
"AMIE"
],
"integrations": [
"Epic",
"Cerner",
"PACS",
"FHIR",
"HL7 v2",
"DICOM",
"SNOMED",
"ICD-10",
"LOINC",
"CPT",
"ICD-11",
"HL7 CDA",
"HL7 CCD",
"HL7 CCD-A",
"HL7 CCD-C",
"HL7 CCD-D",
"HL7 CCD-E",
"HL7 CCD-F",
"HL7 CCD-G",
"HL7 CCD-H"
],
"data_standards": [
"FHIR",
"HL7 v2",
"DICOM",
"SNOMED",
"ICD-10",
"Loinc",
"CPT",
"ICD-11",
"HL7 CDA",
"HL7 CCD"
],
"api_available": "yes",
"system_requirements": "Google Cloud Platform",
"compliance": [
"HIPAA",
"GDPR",
"ISO 42001",
"SOC 2",
"FedRAMP High",
"HITRUST CSF",
"PCI-DSS v4.0"
],
"certifications": [
"ISO 42001",
"SOC 2",
"FedRAMP High",
"HITRUST CSF",
"PCI-DSS v4.0"
],
"security_features": [
"End-to-end encryption",
"Role-based access control (RBAC)",
"Single sign-on (SSO)",
"Audit logs",
"Two-factor authentication (2FA)",
"Data loss prevention (DLP)",
"Client-side encryption",
"Content safety filters",
"Prompt injection defenses"
],
"privacy_features": [
"Business Associate Agreement (BAA)",
"Data residency controls",
"Data anonymization",
"Data minimization",
"Automated data purging",
"Privacy impact assessments (DPIA)"
],
"data_residency": "US/EU regions",
"customers": [],
"user_reviews": [],
"ratings": [
"4.4/5 (275 reviews) - G2"
],
"support_channels": [
"email",
"phone",
"chat",
"ticketing",
"community",
"24x7"
],
"training_options": [
"documentation",
"webinars",
"live_online",
"onsite",
"certification"
],
"release_year": "\"\"",
"integration_partners": [],
"id": "SW2538",
"slug": "gemini",
"type": "product",
"version": "1.0",
"last_updated": "2025-10-11",
"links_json": {
"self": "https://www.healthaidb.com/software/gemini.json"
}
}