Core Viewpoint - Tsinghua University’s Beijing Tsinghua Changgung Hospital has launched a clinical medicine technology innovation platform to enhance collaboration in clinical research and development, aiming to address key challenges in clinical medicine and accelerate the transition of new technologies to clinical applications [1][2] Group 1: Platform Launch and Structure - The newly established platform integrates six core entities: Clinical Biobank Resource Center, Clinical Drug and Device Testing Center, Clinical Translational Medicine Center, Medical Data Science Center, Health Technology R&D Center, and Clinical Research Center [1] - This platform aims to create a collaborative innovation system that covers the entire chain from clinical research to clinical validation, facilitating resource sharing and capability enhancement among the entities [1] Group 2: Mission and Goals - The platform is designed to fulfill three main missions: to build a collaborative innovation hub, to cultivate leading teams in medical-engineering integration, and to drive the application of smart healthcare technologies [1] - The focus is on accelerating the transition of new technologies from the laboratory to clinical settings, ultimately benefiting public health with innovative outcomes [1] Group 3: Collaborative Initiatives - Tsinghua Changgung Hospital has initiated a comprehensive research alliance to share resources and conduct high-level clinical research in collaboration with multiple medical institutions [2] - Strategic partnerships have been established with Tsinghua University’s Biomedical Engineering Department and the National Key Laboratory of Membrane Biology, enhancing the research capabilities [2] Group 4: Innovation Outcomes - The conference showcased significant innovations, including the launch of the "Qingxin" ECG model and the "AI Liver and Gallbladder Super Doctor" intelligent system, demonstrating the effectiveness of medical-academic and medical-enterprise collaborations [2] - The event featured a keynote report by academic leaders discussing the evolving role of doctors in the AI era, emphasizing the need for improved clinical decision-making and integration of medical-engineering practices [2]

Core Viewpoint - The integration of AI in the medical field is significant, but it will not fully replace doctors in the foreseeable future, as human doctors possess unique qualities that AI lacks [2][4]. Group 1: AI Applications in Healthcare - AI has a wide range of applications in healthcare, including converting consultation records into standardized medical records, providing follow-up services, assisting in the screening of eye diseases, and enabling precise surgical interventions [2]. - AI excels in standardized and procedural tasks such as image interpretation, document processing, and health inquiries, becoming a "digital ally" for doctors [2]. Group 2: Limitations of AI - Current AI technologies, particularly large language models, rely on external inputs rather than intrinsic motivation, and they lack true reasoning and causal understanding [2]. - The "black box" nature of AI raises concerns about its interpretability, and it cannot take responsibility for its actions, which is a critical aspect of medical practice [2]. Group 3: Role of Doctors in the AI Era - In the future, doctors will serve as clinical decision-makers, weighing complex factors such as risks, expectations, and economic pressures to make final choices [3]. - Doctors will also act as process designers and communicators, engaging in deep interactions, value choices, and ethical judgments during treatment [3]. - Additionally, doctors will be safety supervisors, responsible for maintaining boundaries in situations with imperfect data and high medical risks [3]. Group 4: Evolving Expectations for Doctors - The AI era will raise the bar for doctors, requiring them to understand, utilize, and explain AI technologies as part of their basic competencies [4]. - Enhanced clinical decision-making and system thinking skills will be essential, along with improved communication abilities and humanistic qualities [4]. - Cross-disciplinary collaboration, process re-engineering skills, and heightened awareness of regulations, ethics, and safety will also be crucial for future doctors [4]. Group 5: Coexistence of AI and Doctors - The relationship between AI and doctors is characterized by coexistence rather than replacement, with doctors expected to be discerning decision-makers, empathetic communicators, and practitioners aware of technological boundaries [4].

Core Viewpoint - The 2025 China International Service Trade Fair features a health and hygiene services section that showcases innovations in the health industry, highlighting the strong momentum of health industry upgrades in China [1]. Group 1: Health Technology Innovations - The "优促计划" theme exhibition, organized by the Beijing Municipal Health Commission, showcases over 50 medical technology achievements, making it one of the most technologically advanced areas of the health services exhibition [2]. - A handheld smart fundus camera demonstrated at the exhibition can quickly capture eye images and identify over 20 types of eye abnormalities using AI, aiding in early detection of eye diseases [2]. - The intelligent refractive screening device and electronic vision chart for children provide efficient eye health screening solutions, developed through collaboration among various institutions, addressing the needs of different age groups [3][4]. Group 2: Project Acceleration and Commercialization - The "优促计划" aims to accelerate the commercialization of medical technology innovations, with a project reserve of 1,371 and a pool of nearly 10,000 experts, resulting in 69 projects being commercialized with a total contract value of 555 million yuan [4]. - The establishment of a national AI application pilot base in the medical field was announced, featuring 14 common service capabilities and 31 AI application scenarios to enhance the health industry [5]. Group 3: AI and Smart Health Solutions - The AI virtual doctor "融融" provides health consultations and triage suggestions, showcasing the integration of AI in patient care and decision-making processes [5]. - A retinal disease and chronic disease warning system, developed by Beijing Tongren Hospital and Eagle Eye Technology, uses AI to assess overall vascular health through retinal imaging, achieving commercial success in multiple community health centers [6]. Group 4: Advanced Medical Equipment - Siemens introduced the world's first photon-counting CT, which has been installed in over 20 hospitals across 15 provinces, with more than 180,000 patient scans completed [7]. - The exhibition featured various high-end medical devices and AI solutions, including the world's first 5.0T whole-body MRI system and an AI catheter shaping robot, showcasing significant advancements in medical technology [7]. Group 5: Innovative Service Models - Tianjin Pengruili Hospital presented a comprehensive service model that integrates hospital, rehabilitation, and wellness services, demonstrating a multi-faceted approach to healthcare delivery [8]. - The ongoing development of AI and cloud computing technologies is expected to accelerate the transformation of the healthcare industry towards digitalization and personalization, enhancing consumer experiences [8].