Shanghai-based Ping An Health Launches Generative AI-Powered Chatbot
Shanghai-based Ping An Health, the health technology unit of Chinese insurance firm Ping An, has launched a generative AI-powered chatbot on its mobile health application featuring the avatars of real physicians.
New Feature on Ping An Health App
The new feature, Ping An Xin Yi, on the Ping An Health app, provides round-the-clock on-demand access to AI-assisted health consultations delivered through digital avatars. It also offers simplified interpretation of medical reports and laboratory results and personalized medication reminders.
How it Works
Ping An Health explained that the chatbot was built using a three-tiered data training structure. The base layer is Ping An Medical Master, the company’s large language model based on its five medical databases covering 37,000 diseases and 420,000 disease-related terms; the second layer is a knowledge base from the doctor whom the avatar is modeled from, including their social media content and published materials. The third layer involves fine-tuning from the doctor themselves, including manual annotation and training with their video content.
Besides genAI, Ping An Xin Yi also utilizes natural language processing, machine learning, and medical document recognition. The avatars currently replicate the image and voice of top specialists in proctology, hepatobiliary surgery, and obstetrics and gynecology in China. Users can interact with them synchronously through text, voice, or video chat.
The Larger Trend
Digital avatars representing real-life doctors are also featured in the virtual hospital project of Tsinghua University Institute for AI Industry Research. Set for public pilot some time this first quarter, the autonomous and self-evolving virtual healthcare setting will be run by these genAI-driven doctors, which have shown high accuracy in examining, diagnosing, and treating patients in a recent study.
Ping An Health’s AI Integration Efforts
Ping An Health has doubled down on AI integration in recent years. Last year, it introduced its medical LLM, Ping An Medical Master, and the Ping An Doctor’s Home doctor’s dashboard. Early in February, it completed the deployment and partial verification of DeepSeek, which it expects to help boost accuracy in health consultations and disease diagnoses. Ping An Health claims its current AI-powered diagnosis and treatment system demonstrates near full accuracy in triage and assisted diagnosis.
Meanwhile, Ping An Health’s telemedicine standards – as applied in its AI-powered online family doctor service Ping An Family Doctor – reportedly served as the model for nationwide standards for virtual care delivery being piloted in China.
Conclusion
Ping An Health’s new chatbot, Ping An Xin Yi, marks a significant step forward in the integration of AI technology in the healthcare industry. With its ability to provide round-the-clock on-demand access to AI-assisted health consultations, simplified interpretation of medical reports, and personalized medication reminders, this feature has the potential to revolutionize the way patients interact with healthcare providers.
FAQs
- What is Ping An Xin Yi? Ping An Xin Yi is a generative AI-powered chatbot launched on Ping An Health’s mobile health application featuring the avatars of real physicians.
- What are the features of Ping An Xin Yi? Ping An Xin Yi provides round-the-clock on-demand access to AI-assisted health consultations, simplified interpretation of medical reports, and personalized medication reminders.
- How does Ping An Xin Yi work? Ping An Xin Yi uses a three-tiered data training structure, including Ping An Medical Master, a knowledge base from the doctor whom the avatar is modeled from, and fine-tuning from the doctor themselves.
- What is the larger trend? Digital avatars representing real-life doctors are also featured in the virtual hospital project of Tsinghua University Institute for AI Industry Research.
- What are Ping An Health’s AI integration efforts? Ping An Health has doubled down on AI integration, introducing its medical LLM, Ping An Medical Master, and the Ping An Doctor’s Home doctor’s dashboard, and completing the deployment and partial verification of DeepSeek.
