| --- |
| title: Real Perfusion Monitoring System - Full Simulation |
| emoji: 🏥 |
| colorFrom: blue |
| colorTo: purple |
| sdk: gradio |
| sdk_version: 4.44.0 |
| app_file: app.py |
| pinned: false |
| license: mit |
| --- |
| |
| # 🏥 Real Perfusion Monitoring System - Full Simulation |
|
|
| **Complete DQN-powered perfusion monitoring with trained models and real simulation physics.** |
|
|
| ## 🚀 Features |
|
|
| - **Real DQN Agents**: Uses actual trained Deep Q-Network models |
| - **Full Simulation Physics**: Complete perfusion system modeling |
| - **Real-Time Monitoring**: Live parameter tracking with safety zones |
| - **Professional Interface**: Medical-grade dashboard design |
| - **Dual Scenarios**: Eye perfusion and VCA perfusion support |
|
|
| ## 🧠 What Makes This Special |
|
|
| ### Real AI Models |
| - Trained on thousands of simulation episodes |
| - Learned optimal perfusion control strategies |
| - Validated performance on 24-hour scenarios |
|
|
| ### Complete Physics |
| - Multi-organ system interactions |
| - Realistic parameter evolution |
| - Critical event detection |
| - Professional medical parameter ranges |
|
|
| ### Smart Safety System |
| - 🟢 **Safe Zone**: Optimal parameter ranges |
| - 🟡 **Warning Zone**: Requires attention |
| - 🔴 **Critical Zone**: Immediate intervention needed |
|
|
| ## 📊 Parameters Monitored |
|
|
| 1. **Temperature** (35-40°C): Core/perfusate temperature control |
| 2. **VR (Vascular Resistance)**: Blood vessel resistance management |
| 3. **pH** (7.0-7.8): Acid-base balance maintenance |
| 4. **pvO2** (50-700): Partial pressure of oxygen |
| 5. **Glucose** (3-20 mM): Blood sugar regulation |
| 6. **Insulin** (5-80 mU): Hormone control |
|
|
| ## 🎯 How to Use |
|
|
| 1. **Select Scenario**: Choose Eye or VCA perfusion |
| 2. **Start Evaluation**: Watch real AI make decisions |
| 3. **Monitor Progress**: Follow 24-hour simulation |
| 4. **Observe AI Strategy**: See intelligent parameter control |
|
|
| ## 🏆 Applications |
|
|
| - **Medical Device Control**: Automated perfusion systems |
| - **AI Research**: Reinforcement learning in healthcare |
| - **Clinical Training**: Understanding AI-assisted procedures |
| - **Safety Validation**: Testing AI decision-making |
|
|
| --- |
|
|
| *Powered by PyTorch, Gradio, and advanced deep reinforcement learning.* |
