Medical AI Consultation Platform

Aug 1, 2025 · 1 min read
智慧医疗AI平台 — full-stack consultation and diagnosis assistance

An 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).

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.

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.

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