Delivery Date AI

JSON twin: https://www.healthaidb.com/software/delivery-date-ai.json

Company Name

Ultrasound AI

Product URL

https://ultrasound.ai

Company URL

https://ultrasound.ai

Categories

• clinical Care
• diagnostic Support
• patient Facing
• reproductive Health
• ai Clinical Documentation Integrity
• clinical Decision Support
• Clinical
• Diagnostic
• Prenatal Care
• Artificial Intelligence

Summary

Delivery Date AI is an AI-powered platform that analyzes ultrasound images to predict a baby's actual delivery date, offering personalized insights for expectant parents and healthcare providers.

Description

Delivery Date AI utilizes advanced artificial intelligence to process standard ultrasound scans, providing accurate, early predictions of delivery dates and identifying preterm birth risks. It integrates seamlessly into existing clinical workflows without requiring additional hardware, delivering results within seconds. The platform has been validated through extensive clinical studies, including the University of Kentucky's PAIR study, and has received regulatory approvals in Brazil and Chile, with FDA clearance pending in the United States.

Api Available

unknown

Certifications

• FDA De Novo clearance pending
• ANVISA approval in Brazil

Company Founding

2019

Company Offices

• United States
• Brazil
• Chile

Compliance

• HIPAA
• FDA regulations
• ANVISA
• GDPR

Customers

• University of Kentucky
• MedLatam
• Clinics in Brazil
• Clinics in Chile

Data Residency

US/EU regions

Data Standards

• DICOM

Deployment Model

• SaaS

Features

• AI-driven delivery date prediction from ultrasound images
• Early preterm birth risk identification
• Integration with existing ultrasound systems
• Real-time results delivery
• Cloud-based processing for rapid analysis
• Personalized delivery date estimates
• Seamless integration with PACS systems
• No additional hardware required
• Validated through clinical studies
• FDA De Novo clearance pending
• ANVISA approval in Brazil
• Available in Chile

Id

SW2545

Integration Partners

• MedLatam

Integrations

• PACS systems

Languages Supported

• English
• Portuguese
• Spanish

Last Updated

2025-10-11

License

Commercial

Market Segment

• Enterprise
• SMB
• Consumer

Optional Modules

• Preterm birth risk assessment

Os Platforms

• Web

Pricing Details

Contact vendor for pricing information.

Pricing Model

Subscription

Privacy Features

• BAA available
• Consent management
• Anonymization
• Data minimization

Product Code

SW2545

Product Name

Delivery Date AI

Ratings

• R² of 0.95 for term births and 0.92 for all births in the PAIR study published in The Journal of Maternal-Fetal & Neonatal Medicine
• Mean Absolute Error of 12.16 days in the third trimester in the PAIR study published in The Journal of Maternal-Fetal & Neonatal Medicine

Regions Available

• Brazil
• Chile
• United States

Related Urls

Release Year

2019

Security Features

• HIPAA-compliant servers
• Industry-standard encryption
• De-identification processes

Specialties

• Obstetrics
• Maternal-fetal Medicine
• Prenatal Care

Support Channels

• email
• phone
• chat
• ticketing
• community
• 24x7

System Requirements

Target Users

• Clinicians
• Obstetricians
• Expectant Mothers
• Healthcare Providers

Training Options

• documentation
• webinars
• live_online
• onsite
• certification

Type

product

User Reviews

• I have had several ultrasounds using this system, and it has given me more confidence because I feel more supported throughout my journey.

Version

1.0

Alternatives

See related products

Canonical JSON

{
  "product_name": "Delivery Date AI",
  "company_name": "Ultrasound AI",
  "product_url": "https://ultrasound.ai",
  "company_url": "https://ultrasound.ai",
  "related_urls": [],
  "product_code": "SW2545",
  "summary": "Delivery Date AI is an AI-powered platform that analyzes ultrasound images to predict a baby's actual delivery date, offering personalized insights for expectant parents and healthcare providers.",
  "description": "Delivery Date AI utilizes advanced artificial intelligence to process standard ultrasound scans, providing accurate, early predictions of delivery dates and identifying preterm birth risks. It integrates seamlessly into existing clinical workflows without requiring additional hardware, delivering results within seconds. The platform has been validated through extensive clinical studies, including the University of Kentucky's PAIR study, and has received regulatory approvals in Brazil and Chile, with FDA clearance pending in the United States.",
  "categories": [
    "clinical Care",
    "diagnostic Support",
    "patient Facing",
    "reproductive Health",
    "ai Clinical Documentation Integrity",
    "clinical Decision Support",
    "Clinical",
    "Diagnostic",
    "Patient-facing",
    "Prenatal Care",
    "Artificial Intelligence"
  ],
  "market_segment": [
    "Enterprise",
    "SMB",
    "Consumer"
  ],
  "target_users": [
    "Clinicians",
    "Obstetricians",
    "Expectant Mothers",
    "Healthcare Providers"
  ],
  "specialties": [
    "Obstetrics",
    "Maternal-fetal Medicine",
    "Prenatal Care"
  ],
  "regions_available": [
    "Brazil",
    "Chile",
    "United States (Pending FDA Approval)"
  ],
  "languages_supported": [
    "English",
    "Portuguese",
    "Spanish"
  ],
  "pricing_model": "Subscription",
  "pricing_details": "Contact vendor for pricing information.",
  "license": "Commercial",
  "company_offices": [
    "United States",
    "Brazil",
    "Chile"
  ],
  "company_founding": "2019",
  "deployment_model": [
    "SaaS"
  ],
  "os_platforms": [
    "Web"
  ],
  "features": [
    "AI-driven delivery date prediction from ultrasound images",
    "Early preterm birth risk identification",
    "Integration with existing ultrasound systems",
    "Real-time results delivery",
    "Cloud-based processing for rapid analysis",
    "Personalized delivery date estimates",
    "Seamless integration with PACS systems",
    "No additional hardware required",
    "Validated through clinical studies",
    "FDA De Novo clearance pending",
    "ANVISA approval in Brazil",
    "Available in Chile"
  ],
  "optional_modules": [
    "Preterm birth risk assessment"
  ],
  "integrations": [
    "PACS systems"
  ],
  "data_standards": [
    "DICOM"
  ],
  "api_available": "unknown",
  "system_requirements": "",
  "compliance": [
    "HIPAA",
    "FDA regulations",
    "ANVISA",
    "GDPR"
  ],
  "certifications": [
    "FDA De Novo clearance pending",
    "ANVISA approval in Brazil"
  ],
  "security_features": [
    "HIPAA-compliant servers",
    "Industry-standard encryption",
    "De-identification processes"
  ],
  "privacy_features": [
    "BAA available",
    "Consent management",
    "Anonymization",
    "Data minimization"
  ],
  "data_residency": "US/EU regions",
  "customers": [
    "University of Kentucky",
    "MedLatam",
    "Clinics in Brazil",
    "Clinics in Chile"
  ],
  "user_reviews": [
    "I have had several ultrasounds using this system, and it has given me more confidence because I feel more supported throughout my journey."
  ],
  "ratings": [
    "R² of 0.95 for term births and 0.92 for all births in the PAIR study published in The Journal of Maternal-Fetal & Neonatal Medicine",
    "Mean Absolute Error of 12.16 days in the third trimester in the PAIR study published in The Journal of Maternal-Fetal & Neonatal Medicine"
  ],
  "support_channels": [
    "email",
    "phone",
    "chat",
    "ticketing",
    "community",
    "24x7"
  ],
  "training_options": [
    "documentation",
    "webinars",
    "live_online",
    "onsite",
    "certification"
  ],
  "release_year": "2019",
  "integration_partners": [
    "MedLatam"
  ],
  "id": "SW2545",
  "slug": "delivery-date-ai",
  "type": "product",
  "version": "1.0",
  "last_updated": "2025-10-11",
  "links_json": {
    "self": "https://www.healthaidb.com/software/delivery-date-ai.json"
  }
}