DIAGNOSTIC SUPPORT MODEL

Computer vision support built for melanin-rich dermatology

A computer vision model trained on clinician-annotated dermatology images, designed to support clinical evaluation of skin conditions.

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Clinical skin capture
Capture
analyze.py

# Request

What it is

A computer vision model trained on a proprietary dataset of melanin-rich dermatology images. The model is designed to provide structured diagnostic support to clinicians during evaluation of skin conditions.

Model Architecture Visualization

How it works

1

Intake & Image Capture

Patient intake and structured data collection via the OSAZ platform or Clinical Connector. Clinical photos are captured in a standardized workflow.

2

Model Analysis

The model analyzes images together with structured intake data.

3

Structured Support Output

The system generates structured support outputs, such as differential considerations and clinical flags.

4

Clinician Decision

The clinician reviews outputs and makes the final medical decision. The system is assistive, not autonomous.

Designed for clinical integration

Built on proprietary, clinician-annotated dermatology data

Focused on melanin-rich skin while robust across skin tones

Delivered via API and via OSAZ platform UI

Ready to integrate?

Request API access or speak with our team to explore how the Vision API fits your clinical workflow.