Pi

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

Company Name

Product URL

Company URL

Summary

Pi™ is an AI-driven software developed by Lucida Medical to assist radiologists in accurately diagnosing prostate cancer from MRI scans, enhancing detection speed and precision.

Description

Pi™ utilizes machine learning and image processing to analyze prostate MRI scans, providing 3D segmentations, volumes, and risk scores to support radiologists in decision-making processes. It integrates seamlessly into existing PACS systems and is CE-marked for clinical use in Europe and the UK, with plans for future availability in the USA pending FDA approval.

Api Available

yes

Certifications

FDA 510(k)
CE Mark
ONC Health IT Certification
ISO 13485
ISO 14971
IEC 62304
IEC 62366
IEC 60601-1
IEC 60601-1-2
IEC 60601-1-6

Company Founding

2019

Company Offices

United Kingdom

Compliance

HIPAA
GDPR
ISO 27001
ISO 27701
SOC 2 Type II
PCI DSS
FedRAMP
HITECH
CCPA
ISO 9001

Customers

Data Residency

US and EU regions, with options for customer-defined cloud regions

Data Standards

DICOM
HL7
FHIR
SNOMED CT
ICD-10
LOINC
CPT
ICD-9
NDC
HCPCS

Deployment Model

SaaS
on_prem
hybrid

Features

Prostate cancer diagnosis from MRI images
AI-powered lesion detection and contouring
Integration with PACS and AI technology platforms
Flexible deployment options: SaaS, on-premise, hybrid
User-friendly interface for radiologists
Seamless integration with existing clinical workflows
Advanced visualization tools for enhanced diagnostics
Secure data handling and compliance with healthcare standards
Scalable architecture to accommodate varying clinical needs
Continuous updates and improvements based on user feedback

Id

SW2549

Integration Partners

Integrations

Sectra PACS Amplifier Marketplace
Blackford Platform™
TeraRecon Eureka
DeepC
Ferrum Health
Cerno Health
HealthCare Konnect
Aplicaciones Tecnológicas
Medical Horizons

Languages Supported

English

Last Updated

2025-10-11

License

commercial

Market Segment

enterprise
smb

Optional Modules

Advanced reporting tools
Clinical decision support systems
Patient data analytics
Integration with electronic health records (EHR)
Mobile application for remote access
Cloud storage solutions
Telemedicine integration
Automated quality assurance checks
Customizable user roles and permissions
Multilingual support

Os Platforms

Web
iOS
Android
Windows
macOS
Linux

Pricing Details

Contact vendor for pricing information.

Pricing Model

subscription

Privacy Features

Business Associate Agreement (BAA)
Consent management
Data anonymization
Data minimization
Data residency controls
User data access controls
Data retention policies
Data masking
Secure data sharing
Patient data ownership

Product Code

SW2549

Product Name

Ratings

Regions Available

Related Urls

Release Year

Security Features

Encryption at rest and in transit
Role-based access control (RBAC)
Single sign-on (SSO)
Audit logs
Two-factor authentication (2FA)
Data loss prevention (DLP)
Intrusion detection systems
Regular penetration testing
Zero Trust Architecture
Hardware security modules (HSM)

Specialties

Support Channels

System Requirements

Windows Server 2016 or later, Linux (Ubuntu 18.04 or later), 8 GB RAM, 2.5 GHz processor, 100 GB free disk space

Target Users

radiologists
urologists
oncologists
medical imaging professionals

Training Options

Type

product

User Reviews

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Pi",
  "company_name": "Lucida Medical",
  "product_url": "https://lucidamedical.com",
  "company_url": "https://lucidamedical.com",
  "related_urls": [],
  "product_code": "SW2549",
  "summary": "Pi™ is an AI-driven software developed by Lucida Medical to assist radiologists in accurately diagnosing prostate cancer from MRI scans, enhancing detection speed and precision.",
  "description": "Pi™ utilizes machine learning and image processing to analyze prostate MRI scans, providing 3D segmentations, volumes, and risk scores to support radiologists in decision-making processes. It integrates seamlessly into existing PACS systems and is CE-marked for clinical use in Europe and the UK, with plans for future availability in the USA pending FDA approval.",
  "categories": [
    "diagnostic Support",
    "clinical Care",
    "radiology",
    "oncology Care",
    "Diagnostic",
    "Clinical",
    "Radiology",
    "Oncology"
  ],
  "market_segment": [
    "enterprise",
    "smb"
  ],
  "target_users": [
    "radiologists",
    "urologists",
    "oncologists",
    "medical imaging professionals"
  ],
  "specialties": [
    "Radiology",
    "Oncology",
    "Urology"
  ],
  "regions_available": [
    "United Kingdom",
    "European Union"
  ],
  "languages_supported": [
    "English"
  ],
  "pricing_model": "subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "commercial",
  "company_offices": [
    "United Kingdom"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "SaaS",
    "on_prem",
    "hybrid"
  ],
  "os_platforms": [
    "Web",
    "iOS",
    "Android",
    "Windows",
    "macOS",
    "Linux"
  ],
  "features": [
    "Prostate cancer diagnosis from MRI images",
    "AI-powered lesion detection and contouring",
    "Integration with PACS and AI technology platforms",
    "Flexible deployment options: SaaS, on-premise, hybrid",
    "User-friendly interface for radiologists",
    "Seamless integration with existing clinical workflows",
    "Advanced visualization tools for enhanced diagnostics",
    "Secure data handling and compliance with healthcare standards",
    "Scalable architecture to accommodate varying clinical needs",
    "Continuous updates and improvements based on user feedback"
  ],
  "optional_modules": [
    "Advanced reporting tools",
    "Clinical decision support systems",
    "Patient data analytics",
    "Integration with electronic health records (EHR)",
    "Mobile application for remote access",
    "Cloud storage solutions",
    "Telemedicine integration",
    "Automated quality assurance checks",
    "Customizable user roles and permissions",
    "Multilingual support"
  ],
  "integrations": [
    "Sectra PACS Amplifier Marketplace",
    "Blackford Platform™",
    "TeraRecon Eureka",
    "DeepC",
    "Ferrum Health",
    "Cerno Health",
    "HealthCare Konnect",
    "Aplicaciones Tecnológicas",
    "Medical Horizons"
  ],
  "data_standards": [
    "DICOM",
    "HL7",
    "FHIR",
    "SNOMED CT",
    "ICD-10",
    "LOINC",
    "CPT",
    "ICD-9",
    "NDC",
    "HCPCS"
  ],
  "api_available": "yes",
  "system_requirements": "Windows Server 2016 or later, Linux (Ubuntu 18.04 or later), 8 GB RAM, 2.5 GHz processor, 100 GB free disk space",
  "compliance": [
    "HIPAA",
    "GDPR",
    "ISO 27001",
    "ISO 27701",
    "SOC 2 Type II",
    "PCI DSS",
    "FedRAMP",
    "HITECH",
    "CCPA",
    "ISO 9001"
  ],
  "certifications": [
    "FDA 510(k)",
    "CE Mark",
    "ONC Health IT Certification",
    "ISO 13485",
    "ISO 14971",
    "IEC 62304",
    "IEC 62366",
    "IEC 60601-1",
    "IEC 60601-1-2",
    "IEC 60601-1-6"
  ],
  "security_features": [
    "Encryption at rest and in transit",
    "Role-based access control (RBAC)",
    "Single sign-on (SSO)",
    "Audit logs",
    "Two-factor authentication (2FA)",
    "Data loss prevention (DLP)",
    "Intrusion detection systems",
    "Regular penetration testing",
    "Zero Trust Architecture",
    "Hardware security modules (HSM)"
  ],
  "privacy_features": [
    "Business Associate Agreement (BAA)",
    "Consent management",
    "Data anonymization",
    "Data minimization",
    "Data residency controls",
    "User data access controls",
    "Data retention policies",
    "Data masking",
    "Secure data sharing",
    "Patient data ownership"
  ],
  "data_residency": "US and EU regions, with options for customer-defined cloud regions",
  "customers": [],
  "user_reviews": [],
  "ratings": [],
  "support_channels": [],
  "training_options": [],
  "release_year": "",
  "integration_partners": [],
  "id": "SW2549",
  "slug": "pi",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/pi.json"
  }
}

Pi