Core Viewpoint - The trend of AI in healthcare is irreversible, with all AI-based medical products originating from clinical needs and ultimately providing greater value than clinical applications [2][4]. Group 1: AI in Healthcare - AI and large models are seen as tools that must address clinical problems effectively [2][3]. - Liu Jianxun, Senior Vice President of GeRui Technology, emphasizes that technology innovation must focus on solving real clinical issues [3][4]. - The company has made significant advancements in orthopedic fields, including the launch of a fully electric integrated intraoperative 3D imaging system and the "Newton" orthopedic endoscopic surgical robot, which is entering multi-center human clinical trials [2]. Group 2: Clinical Value and Innovation - The essence of AI medical innovation is to return to clinical fundamentals, ensuring that technology meets actual clinical needs [3][4]. - Liu Jianxun highlights the importance of accurately defining clinical needs to address genuine clinical pain points [3]. Group 3: Commercialization and Industry Ecosystem - Liu Jianxun stresses the need for a collaborative effort to improve the industry ecosystem, particularly regarding payment systems for innovative medical devices [4]. - He notes that a diversified payment system in international markets supports the promotion of innovative medical technologies, which should be emulated in China [4]. - The expectation is for all stakeholders, including medical institutions, enterprises, and insurance agencies, to explore solutions suitable for the Chinese market to foster healthy industry development [4].