AI · Healthcare
Medical Imaging AI
Fine-tuned medical models for real diagnostics.
- Role
- Full-Stack AI Developer
- Period
- 2025
Outcomes
87% accuracy on X-ray fracture detection
84% accuracy in ophthalmology; 23 dermatology conditions classified
Automated report pipeline processing 15K+ images
The problem
Clinics needed faster preliminary reads across radiology, ophthalmology, and dermatology without shipping patient data to opaque third-party services.
The approach
Fine-tuned MedGemma 4B for X-ray fracture detection, ophthalmology, and 23 dermatology conditions; curated a 30K+ medical image dataset; built an automated imaging report pipeline (15K+ images processed) and deployed distributed GPU inference behind FastAPI, with web and React Native clients under HIPAA/FHIR standards.
Stack
- Next.js
- FastAPI
- Django
- PyTorch
- MedGemma
- GPU Computing
- React Native
- PostgreSQL
- AWS Lambda
Case-study visuals are being prepared.