Medical AI Consultation Platform
智慧医疗AI平台 — full-stack consultation and diagnosis assistanceAn end-to-end medical AI platform developed from Oct 2024 to Aug 2025, covering both model training and product deployment.
Part 1 — Multimodal Medical LLM:
- Three-stage fine-tuning: Medical Alignment → Instruction Tuning & Routing → Domain Expert Routing
- Image-text cross-attention alignment for CT/MRI images and medical text
- MoE-style routing: directs tasks to specialized expert modules (radiology, clinical text, etc.)
- Architecture reference: EMNLP 2024 routing framework
Part 2 — Cloud Platform:
- Coze multi-agent workflow for medication assistance and health check-in
- Visual imaging analysis + report OCR pipeline
- Web frontend: symptom analysis, drug recommendation, health knowledge base
- Deployed and validated with real hospital feedback
Reflection: Identified product-market fit issues early — physician trust barriers and unclear monetization in B2B healthcare remain the core challenge for medical AI products.
Stack: PyTorch · Transformers · Coze · Vue · Cloud deployment
Model Training Pipeline

Three-stage fine-tuning: Medical Alignment → Instruction Tuning & Routing → Domain Expert Routing (reference: EMNLP 2024).
Coze Multi-Agent Workflow

Coze multi-agent workflow for medication assistance, health check-in, and domain routing.
Platform Frontend

智慧医疗AI平台 — symptom analysis, drug recommendation, visual report OCR, deployed and validated with hospital feedback.