Data Collection

We gather diverse healthcare data for comprehensive model training.

A person is leaning over a table, writing on papers with a pen. There are medical devices, including a blood pressure monitor and a pulse oximeter, on the table. The setting appears to be an informal medical or health-related event, with another person partially visible in the background.

Data Annotation

Our team meticulously annotates and classifies data for effective machine learning applications.

Predict the future

Multimodal fusion: Combine image recognition (such as taking photos of skin damage) and sensor data (heart rate) monitoring to improve diagnostic capabilities.
Cross-system integration: Connect to the hospital HIS system to achieve real-time synchronization of conversation data and electronic medical records.

People are gathered in a dimly lit room with natural light streaming in through a window. A man wearing a stethoscope around his neck is attending to a seated woman in traditional attire. Another man stands in the background holding papers and wearing a hat. Other individuals are engaged in various activities within the room.

Medical dialogue agents have optimized the medical service process through technological innovation, but they need to break through the bottlenecks of professionalism, ethics and trust. In the future, they need to rely on technological iteration and standard improvement, and eventually become an important force in the medical system that "assists rather than replaces" human medical care.