BoneAge-Assess
BoneAge-Assess is a SYNTHETIC/DEMO medical imaging model for pediatric bone-age estimation. Outputs are deterministic demo values — NOT for clinical use. Trained (synthetically) on de-identified imaging data.
Imaging
Genoma Institute
License: BioFoundry Research
v4.2.5
RTG 4.0
DL 145,373
Metrics
| Metric | Value | Split |
|---|---|---|
| MAE (mo) | 7.0 | Synthetic hold-out |
| Calibration (ECE) | 0.047 | Synthetic |
| Inputs | Outputs |
|---|---|
| Hand radiograph | Bone age + CI |
Run a synthetic prediction
Returns a deterministic synthetic result — clearly labeled, not for clinical use.
API integration
Call this model from your pipeline (demo — no real key required):
import requests
r = requests.post("https://api.biofoundry.ai/v1/models/bf-038-boneage-assess/predict",
headers={"Authorization": "Bearer <API_KEY>"},
json={"input": "<hand radiograph>"})
print(r.json()) # -> synthetic demo prediction
See the API reference · JSON: /api/models/bf-038-boneage-assess
Version history
| Version | Status | Notes |
|---|---|---|
| v4.2.0 | Archived | Synthetic release note 0 |
| v4.2.1 | Archived | Synthetic release note 1 |
| v4.2.2 | Archived | Synthetic release note 2 |
| v4.2.3 | Archived | Synthetic release note 3 |
| v4.2.4 | Archived | Synthetic release note 4 |
| v4.2.5 | Current | Synthetic release note 5 |
Community contributions: 18 synthetic contributors have submitted evaluations and fine-tunes.