HealthTech Diagnostic Assistant MVP

Challenge

A team of doctors and ML researchers had built a promising skin condition classifier but no product around it. They needed an MVP to validate demand with dermatology clinics before their Series A raise.

Solution

We designed a clinic-first workflow: doctors photograph conditions during consultations, the AI provides differential diagnoses with confidence scores, and everything integrates with existing clinic management systems. We prioritized trust indicators and clear AI limitations.

Key Features

• · Camera interface optimized for clinical lighting conditions
• · AI confidence visualization (not just percentage—visual uncertainty)
• · Similar case references from medical literature
• · Audit trail for regulatory compliance
• · Offline mode for clinics with unreliable connectivity
• · Integration with 3 major clinic management systems in Singapore

Technical Stack

• · React Native (iOS and Android)
• · FastAPI backend with hosted ML model
• · FHIR-compliant data export
• · End-to-end encryption
• · SOC 2 Type II compliant infrastructure