Medical Device Performance Reliability Monitoring

Create a comprehensive Python monitoring system for tracking medical device performance and predicting potential failures using IoT sensor data and advanced machine learning techniques. Develop a scalable data ingestion pipeline using Apache Kafka, implement anomaly detection algorithms with TensorFlow, and create a real-time dashboard visualizing device health metrics. The system must generate predictive maintenance alerts and provide detailed reliability scoring for various medical equipment.