Data

Collecting diverse healthcare data for advanced model training and insights.

A medical setting with two people, likely healthcare professionals, focusing on a patient who is surrounded by numerous medical devices and monitors. The environment is busy with various tubes and equipment connected to the patient.

A person wearing a smartwatch writes on a notepad while using a tablet that displays medical images. A stethoscope is positioned close by on a white desk, suggesting a medical setting.

In March 2025, the first "AI misdiagnosis death lawsuit" occurred: the patient died because the dialogue agent ignored the rare drug allergy warning. The court ruled that the developer (60% of the responsibility), the hospital (30%), and the patient (10%) shared the responsibility.

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We value your insights on our healthcare data collection services.

Two people in lab coats collaborate in an office setting. One is seated and pointing at a computer screen displaying medical images, while the other stands nearby holding a tablet. Large windows reveal a view of greenery outside, creating a bright and professional environment.

The interactive system based on AI technology can understand user natural language input (such as text and voice), generate professional responses based on the medical knowledge base, simulate the communication logic of human medical staff, and realize automated medical services.

Healthcare dialogue agents have reshaped the way doctors and patients interact through technological innovation. While improving efficiency and accessibility, they still need to break through bottlenecks such as professionalism, ethics, and trust. In the future, their development will rely on technological iteration, improvement of industry norms, and exploration of human-machine collaborative models, and will eventually become an important force in the medical system that assists rather than replaces human medical care.