On March 23, Meiyuan Health officially announced a comprehensive strategic cooperation with Ant Health. Both parties will leverage their core strengths in offline medical service networks and digital health ecosystems to jointly build an AI-driven healthcare service loop covering health screening, medical treatment services, and long-term health management.
Meiyuan Health has established nearly 600 health examination centers nationwide, serving approximately 30 million people annually, with a cumulative service of over 260 million people. The company continues to advance its "All in AI" strategy, with AI-related business revenue reaching about 250 million yuan in the first three quarters of 2025. Ant Health's AI health application "Ant Afu" is connected to more than 5,000 public hospitals across the country and over 300,000 registered doctors, serving more than 100 million users, with daily handling of over 10 million health consultations.
The initial results of this collaboration include the official integration of Meiyuan Health's AI assistant "Jiankang Xiaomei" into the Ant Afu App. After authorization, users can instantly access their health reports from the past three years and receive AI interpretations. "Jiankang Xiaomei" has three core capabilities: intelligent report interpretation and risk stratification based on large models, evidence-based intervention recommendations based on clinical knowledge bases, and cross-year health trend tracking and early warning. In the future, both parties will gradually connect the complete chain, including personalized project recommendations before the examination, intelligent navigation during the examination, and follow-up diagnosis, medication, and long-term health management after the examination.
From an industry perspective, the health management industry is transitioning from a single test model to preventive medicine and long-term management, with the core market space evolving from a trillion-yuan health examination market to a ten-trillion-yuan health management market. This collaboration integrates digital health traffic channels with standardized offline service networks, potentially providing a scalable model for AI-driven healthcare services.
