Core Insights - The ideal vision of Shulan Medical Group is a dynamic pursuit of better healthcare, deeply rooted in the principle of "life first" and aiming for "health equity" [1] Group 1: Medical AI Implementation - Shulan Medical has developed multiple medical AI applications, focusing on four main areas: smart management, smart services, smart healthcare, and smart research [2] - The smart management sector is identified as the primary scene for global medical AI implementation, while the smart services sector is advancing rapidly, allowing direct voice communication between hospitals and users [2] - As of October this year, Shulan Medical has extensively deployed AI health assistants and tools across various departments, including pathology and post-hospital health tracking [2] Group 2: Founder’s Background and Vision - The rapid development of Shulan Medical in the medical AI sector is attributed to the founder Zheng Jie's unique background in both computer science and healthcare [5] - Zheng Jie aims to create a Chinese brand akin to the Mayo Clinic, focusing not only on treating diseases but also on exploring life sciences and building an ecosystem that integrates cutting-edge technology with real medical scenarios [5] Group 3: Computational Medicine and Digital Twin - Shulan Medical is actively exploring digital transformation through "Computational Medicine," which aims to model life systems and integrate various advanced technologies [6] - The ultimate goal of Computational Medicine is to establish a Personal Digital Twin (PDT) for precise and personalized medical decision-making [7] - Zheng Jie emphasizes the importance of complete health data for each individual, which is crucial for providing accurate medical services [8] Group 4: Future Outlook - The future of healthcare services will focus on a "system-centered" treatment paradigm, which involves comprehensive analysis of a patient's overall condition to create personalized treatment plans [8] - The shift from disease treatment to health management reflects a deeper transformation in the industry, highlighting the balance between precision and moderation in medical interventions [8]