Core Insights - AI is fundamentally changing health management, making it more personalized, predictive, and participatory [1][2] - The sustainable development of AI in healthcare requires attention to seven key milestones, including building trustworthy AI and promoting ethical governance [1][2] Group 1: AI Integration in Healthcare - AI is entering a new phase in healthcare, with a focus on personalized health management [1] - The transition from passive treatment to proactive health management is essential for the future of healthcare [1][2] - AI's core capability lies in integrating diverse, dynamic, and continuous individual data to create "health profiles" [2][3] Group 2: Challenges and Governance - The potential for "hallucination" in AI models poses risks, particularly in making critical healthcare decisions [3] - There is a need for innovative engineering solutions to address the hallucination issue and ensure high-quality data [3] - Establishing robust risk management and accountability mechanisms is crucial for the normal operation of AI in healthcare [2][3] Group 3: Tencent's Strategy - Tencent is focusing on two key capabilities in the AI healthcare space: endurance and determination [4] - The company is employing a "knowledge-model-application" full-stack approach to accelerate the development and application of AI models in healthcare [4][5]