Integrate
Dental AI
Into Your Platform
DR. ANNIE™ Insights API gives your application the power of clinical-grade dental AI — 13 REST endpoints covering detection, segmentation, cephalometric analysis, and treatment estimation. Built for enterprise integration.
Your Platform. Our AI.
Bring clinical-grade dental AI to your product — without building models from scratch.
Embed AI Into Your Product
Add dental image analysis, cephalometric tracing, and diagnostic detection directly into your existing PMS, imaging software, or telehealth application — with simple REST API calls.
Enterprise-Ready Infrastructure
HIPAA compliant with BAA available. AES-256 encryption, dedicated API keys, custom rate limits, SLA guarantees, and optional on-premise deployment for regulated environments.
Custom Endpoints On Request
Need something specific? We build custom AI models and endpoints for enterprise partners — specialized detection, custom report formats, and region-specific analysis.
Complete Dental AI Endpoint Suite
Every endpoint returns structured JSON with detection coordinates, landmarks, or annotated output images — ready to integrate into your clinical workflow.
Clinical Findings
/clinical-images Detect decay, restorations, brackets, and periodontal conditions in intraoral photographs.
Panoramic Findings
/panos-findings Detect caries, restorations, and dental anomalies on panoramic X-ray radiographs.
TMJ Cross-Sectional
/tmj-findings Detect temporomandibular joint abnormalities in cross-sectional imaging.
Frontal Segmentation
/frontal-seg Segment individual teeth from frontal intraoral photographs.
Panoramic Segmentation
/panos-seg Segment tooth boundaries on panoramic X-ray radiographs.
Occlusogram Upper Seg.
/upper-occ-seg Segment upper dental arch teeth from occlusogram images.
Occlusogram Lower Seg.
/lower-occ-seg Segment lower dental arch teeth from occlusogram images.
Lateral Ceph Landmarks
/ceph-lateral-points Detect 169 cephalometric landmarks on lateral cephalometric radiographs.
Frontal Ceph Landmarks
/ceph-frontal-points Detect 118 cephalometric landmarks on frontal cephalometric radiographs.
Upper Arch Keypoints
/upper-occ-keypoints Map keypoints on upper dental arch occlusogram images.
Lower Arch Keypoints
/lower-occ-keypoints Map keypoints on lower dental arch occlusogram images.
Craniofacial Classifier
/dentistry-classifier Classify dental image type, orientation, and craniofacial characteristics.
Treatment Length Estimator
/tle Predict orthodontic treatment duration from 11 clinical parameters using ML.
Simple to Integrate
3 required fields. Structured JSON response. Results in seconds.
# Analyze a dental image
curl -X POST \
https://api.annie-insights.com/api/v2/clinical-images \
-H "Content-Type: application/json" \
-H "x-api-key: YOUR_API_KEY" \
-d '{
"PatientID": "P-001",
"TimeStamp": "2026-07-10",
"ImageName": "https://your-storage.com/xray.jpg"
}'import requests
response = requests.post(
"https://api.annie-insights.com/api/v2/clinical-images",
headers={
"Content-Type": "application/json",
"x-api-key": "YOUR_API_KEY"
},
json={
"PatientID": "P-001",
"TimeStamp": "2026-07-10",
"ImageName": "https://your-storage.com/xray.jpg"
}
)
data = response.json()
print(data["ImageContents"]) # {'decay': 2, 'restoration': 1}const response = await fetch(
"https://api.annie-insights.com/api/v2/clinical-images",
{
method: "POST",
headers: {
"Content-Type": "application/json",
"x-api-key": "YOUR_API_KEY"
},
body: JSON.stringify({
PatientID: "P-001",
TimeStamp: "2026-07-10",
ImageName: "https://your-storage.com/xray.jpg"
})
}
);
const data = await response.json();
console.log(data.ImageContents); // {decay: 2, restoration: 1}using var client = new HttpClient();
client.DefaultRequestHeaders.Add("x-api-key", "YOUR_API_KEY");
var payload = new {
PatientID = "P-001",
TimeStamp = "2026-07-10",
ImageName = "https://your-storage.com/xray.jpg"
};
var json = JsonSerializer.Serialize(payload);
var content = new StringContent(json, Encoding.UTF8, "application/json");
var response = await client.PostAsync(
"https://api.annie-insights.com/api/v2/clinical-images",
content
);{
"Version": "2024.1.0",
"PatientID": "P-001",
"ImageContents": { "decay": 2, "restoration": 1 },
"Results": {
"decay": [
{ "ClassName": "decay", "TopLeft": [120, 80], "BottomRight": [200, 160] }
]
},
"OutputImageUrl": "https://annieapistorage.blob.core.windows.net/…"
}Built for Developers
Simple REST API
Standard JSON request/response. Just 3 required fields — PatientID, TimeStamp, and ImageName. No complex setup or SDK dependencies required.
Annotated Output Images
Every detection and segmentation endpoint returns an AI-annotated image via Azure SAS URL — ready to display in your UI with no post-processing needed.
Multi-Language Support
Quickstart guides and code samples in Python, JavaScript, C#, and cURL. Works with any HTTP-capable language or framework.
Sandbox for Testing
Free sandbox API key for development and validation. Test against real AI models with rate-limited access before going to production.
Enterprise-Grade Security & Scale
DR. ANNIE™ Insights API is designed for healthcare organizations that require the highest standards of compliance, security, and reliability.
Need a Custom Endpoint?
Don't see the endpoint you need? We build custom AI endpoints for enterprise partners — from specialized detection models to custom report generation pipelines.
Bring Dental AI Into Your Platform
Request API access and get your production key. Sandbox available for immediate testing — start integrating in under 5 minutes.
Frequently Asked Questions
How do I get started with the API?
x-api-key header — include it in every request. Full integration guides, endpoint references, and code samples are available at docs.hcds.ai.What does the API return?
OutputImageUrl with the annotated image overlaid on the original, ready to display in your application.