Developer API

scanO APIs for AI-Powered Oral Health Screening

Integrate oral screening, AI analysis, and structured reports into your product using secure, healthcare-ready REST APIs.

REST APIs JSON responses Secure by design

Built for teams shipping healthcare products

For builders integrating screening into real workflows—fast.

Health-tech startups

Add oral screening without building AI or clinical workflows from scratch.

Insurance & wellness platforms

Standardized screening data to power risk assessment and preventive programs.

Enterprise clinics & systems

Integrate AI screening directly into existing clinical or EMR workflows.

Government

Enable public health screening programs with standardized, structured outputs.

What the APIs enable

Practical primitives you can compose into your workflow.

Capture scans

Ingest scan metadata from supported devices and workflows.

AI screening

Trigger analysis jobs and fetch screening status/results.

Structured reports

Generate consistent outputs you can store, display, or route.

Real-time sync

Use webhooks to push results back into your system instantly.

Detailed endpoint docs, schemas, and examples are available after access approval.

ML models powering the system

Production-grade vision and forecasting models integrated with scanO Air.

ToothAI model
Hard tissue detection

Detects cavities, enamel erosion, calculus, stains, malalignment, and other issues from intraoral images.

Intraoral vision Real-time screening Clinical outputs
ToothAI model detections example
Forms the diagnostic core of the scanO ecosystem.
Drives instant screening output delivered by scanO Air.
Improves accuracy and builds clinician trust at scale.
PredictAI model
Disease progression

Forecasts progression of untreated conditions using historical scans, behavior insights, and predictive modeling.

Forecasting Patient motivation Risk over time
PredictAI progression example
Helps patients visualize outcomes if they don’t act.
Supports personalized care pathways and improves acceptance.
Useful for insurers/employers to estimate oral risk over time.
TissueAI model
Beta

Detects and classifies soft-tissue anomalies (lesions, ulcers, white patches, mucosal irregularities) from intraoral images.

Soft tissue Triage support Screening expansion
TissueAI segmentation example
Enables early detection for high-risk oral conditions.
Expands diagnostics beyond teeth/gums into oral cancer screening.
Supports public health missions with visual evidence for referral/triage.
Note: model capabilities, schemas, and output formats are available after API access approval.

Simple integration flow

Request access

Tell us your use case and expected volume.

Get keys & sandbox

Receive API keys, sandbox access, and documentation.

Build & go live

Integrate, test, and deploy with production credentials.

Technical notes
RESTful APIs • JSON request/response • Webhooks supported
Typical timeline
Sandbox access after review • Production after validation

Built for healthcare-grade reliability

Security and controls designed for real-world healthcare deployments.

Encryption

Encrypted data in transit and at rest for secure handling.

Role-based access

Control who can view, create, and export sensitive outputs.

Audit logs

Track critical actions for traceability and governance.

Standards-aligned

Designed to align with healthcare data standards and best practices.

Security documentation is available post-approval.

Request API Access

Share a few details. Requests are typically reviewed within 48 hours.

After you apply

Use-case review
Approval & access credentials
Documentation & sandbox access
Usage tracking and billing setup

Need to talk to an engineer?

Email: nayan@scanoai.com

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