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.
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
Intake & Image Capture
Patient intake and structured data collection via the OSAZ platform or Clinical Connector. Clinical photos are captured in a standardized workflow.
Model Analysis
The model analyzes images together with structured intake data.
Structured Support Output
The system generates structured support outputs, such as differential considerations and clinical flags.
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
DERMATOLOGY PLATFORM
Integrated intake, documentation, and diagnostic support
A dermatology-focused platform designed for clinics that want a structured workflow combined with diagnostic support in a single system.
A dermatology-focused platform that combines intake, documentation, and diagnostic support for clinics that want an integrated solution.
Key Features
Patient Intake & Skin Assessment
Structured intake workflow designed for medical evaluation, not cosmetic screening.
Photo Capture & Upload
Secure image capture from clinic workflows or patient submissions within a clinical context.
Photo Management
Before/after comparisons, longitudinal tracking, tagging, and organized image timelines.
Clinical Documentation
Notes, patient history, structured data fields, and clinician-focused view.
Diagnostic Model Integration
Embedded access to diagnostic support outputs within the clinical workflow.
Data Management
Secure storage, organization, and retrieval of patient data within HIPAA-compliant infrastructure.
The platform is built for B2B clinical use. Any patient-facing elements (such as at-home intake) operate within a clinical context. The system does not provide direct-to-consumer diagnosis.
Interested in collaborating, investing, or piloting OSAZ AI?
We're working with clinics, researchers, and partners who care about equitable dermatology.
Or email us at contact@osaz.ai