南方财经记者伍素文岭南大医生工作室记者宋鹏、梁玉婷、邓晓俊广州报道 当远在4200公里以外的新疆医院需要进行一场复杂的手术时，身处广州的眼科专家只需远程操作机器 人，就可实现微米级眼底操作，耗时不到7分钟。这台由中山大学中山眼科中心实施的全球首例远程机 器人视网膜下注射手术，成为2025年国家眼健康领域的一个关键突破。 该临床手术新模式受到了国家医保局的关注，在近日印发的《手术与治疗辅助操作类医疗服务价格项目 立项指南（试行）》单独设立了"远程手术辅助操作费"，以价格立项引领医疗技术升级。这对广东省政 协委员，中山大学中山眼科中心主任、医院院长林浩添来说，是无比欣慰的好消息。一项新技术从前沿 探索到实际应用，这是迈向"最后一公里"的关键之举。 回望2025年，既是中山大学中山眼科中心60年院庆之年，也是中心科创成果持续深化和突破之年。眼科 大模型、高精远程眼科手术机器人、C909飞行眼科医院……无论是创新药物，还是智能技术、智能设 备、防治模式，都得到了全方位的提质升级。 今年广东两会，林浩添带来了关于飞行眼科医院建设、促进科技成果转化、智能三级诊疗模式等建议， 都与科技赋能医疗健康紧密相关。眼科领域新质生产 ...

Core Viewpoint - The article highlights the successful application of Alibaba's AI model for early detection of pancreatic cancer, showcasing its potential to save lives by identifying tumors that may be missed by traditional methods [1][4][17]. Group 1: AI Model and Its Impact - The AI model, named DAMO PANDA, has analyzed over 180,000 CT scans, leading to the detection of 24 cases of pancreatic cancer, with 14 being in early stages [17]. - The model demonstrated a 93% accuracy rate in identifying pancreatic lesions from non-contrast CT scans, which are commonly used in routine checks [10][17]. - The cost of the screening using the AI model is approximately $25, making it accessible for many patients [15]. Group 2: Clinical Implementation and Results - The AI tool was tested at the Affiliated People's Hospital of Ningbo University, where it flagged cases that had previously shown no alarms, leading to timely interventions [6][10]. - Dr. Zhu Kelei, a key figure in the implementation, stated that the AI has unequivocally saved lives by detecting cancers that would have otherwise gone unnoticed [10][17]. - The model has issued alerts for about 1,400 scans, with around 300 requiring follow-up, indicating its effectiveness in clinical settings [11]. Group 3: Broader AI Healthcare Landscape - The article notes that Alibaba's AI technology is being promoted globally, covering nine countries and serving 20 million people, indicating a significant expansion of its application [18]. - Other major Chinese tech companies are also investing in AI healthcare, with initiatives from Ant Group, Huawei, and JD.com, reflecting a competitive landscape in AI medical applications [19]. - The Chinese AI healthcare market is projected to grow significantly, with estimates suggesting a rise from 8.8 billion yuan in 2023 to 315.7 billion yuan by 2033, indicating a compound annual growth rate of 43.1% [26].

Core Viewpoint - The launch of China's first ophthalmic air medical project based on domestically produced large aircraft aims to transform C919 and other aircraft into specialized flying hospitals equipped with domestic devices and intelligent remote systems, achieving the goal of "aircraft arrival, light arrival" [1][3]. Group 1: Background and Motivation - The case of Chen Ziyong, a patient from a remote area suffering from diabetic retinopathy, highlights the urgent need for advanced eye care services, as many patients seek treatment at top facilities like Zhongshan Ophthalmic Center as a last resort [2][7]. - Zhongshan Ophthalmic Center is ranked first in the national ophthalmology specialty reputation rankings, indicating its leading position in the field [2][3]. Group 2: Medical Resource Distribution - There are over 60,000 ophthalmologists in China, with a limited number capable of performing intricate eye surgeries, leading to a significant gap in eye care services, especially in remote areas [6][11]. - The prevalence of cataracts is notably high, with an 80% incidence rate among individuals over 60 years old, exacerbating the need for accessible eye care [7]. Group 3: Technological Innovations - The introduction of high-precision ophthalmic surgical robots offers a viable solution to the challenges of surgical difficulty and precision, enabling operations with micron-level accuracy and filtering out hand tremors from surgeons [12][13]. - The successful development of these robots can enhance the safety and success rates of surgeries, while also expanding the reach of quality medical services to underserved areas through remote operation capabilities [13]. Group 4: Future Aspirations - The establishment of the "Ophthalmic Flying Hospital" represents a significant step towards creating a self-sufficient and advanced eye care system in China, with collaborations among various organizations to promote this initiative [17]. - The vision of a "magic mirror" that can assess eye health and provide real-time feedback to patients reflects the innovative approach of Zhongshan Ophthalmic Center in integrating technology into eye care [17][18].

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) highlighted AI's transformative role in healthcare, focusing on four key areas: auxiliary diagnosis, clinical practice, model innovation, and drug discovery [1] - Huawei has established a healthcare division to integrate AI technology deeply into the medical sector, exemplified by the launch of the RuiPath pathology model in collaboration with Shanghai Ruijin Hospital [1][2] Group 1: AI in Healthcare - The RuiPath model is China's first clinical-grade multimodal pathology model, covering 90% of the annual incidence of 19 common cancer types in China [1] - RuiPath achieved state-of-the-art (SOTA) performance in 7 out of 14 auxiliary diagnostic tasks across 12 mainstream public datasets, indicating a significant advancement from laboratory to clinical application [1] Group 2: Collaboration and Data Utilization - Since 2021, Huawei and Ruijin Hospital have collaborated on digital pathology, accumulating over 1.03 million digital pathology slices to train the RuiPath model [2] - The ModelEngine toolchain developed by Huawei enables streamlined data engineering and model training, reducing the deployment time for single cancer diagnosis applications from 10 days to 2 days [2][3] Group 3: Market Potential and Strategy - The domestic AI smart diagnosis market is projected to reach nearly 20 billion yuan from 2025 to 2029 for B-end and G-end products, with the C-end market potentially exceeding 70 billion yuan annually [3] - Huawei's "military-style" approach has led to deep collaborations with 62 leading hospitals, focusing on high-level AI medical products based on clinical data and expert knowledge [4] Group 4: Innovative Applications - The ChatZOC ophthalmology model, developed in partnership with Sun Yat-sen University, has provided eye disease screening services to over 3,000 patients in remote areas, addressing the shortage of ophthalmic resources [4] - The "Dingbei Health" proactive health model, launched with Guangdong Second People's Hospital, uses health check data to predict chronic disease risks, shifting health management from passive treatment to proactive intervention [5]

Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) highlighted AI's transformative role in healthcare, focusing on four dimensions: auxiliary diagnosis, clinical practice, model innovation, and drug discovery [1] - Huawei has established a healthcare division to integrate AI technology deeply into the medical sector, exemplified by the RuiPath pathology model, which covers 90% of annual cancer cases in China [1][2] Group 1: AI in Healthcare - The RuiPath pathology model, developed in collaboration with Shanghai Ruijin Hospital, is China's first clinical-grade multimodal pathology model, achieving state-of-the-art results in 7 out of 14 diagnostic tasks [1] - The model is based on over 1.03 million digital pathology slices accumulated since 2021, providing a robust foundation for training [3] - Huawei's ModelEngine toolchain has reduced the application launch cycle for single cancer diagnoses from 10 days to 2 days, emphasizing efficiency in data engineering [3] Group 2: Market Potential and Strategy - The market for AI intelligent diagnostic products in China is projected to reach nearly 20 billion yuan in the B2B and B2G sectors from 2025 to 2029, with the C2B market potentially exceeding 70 billion yuan annually [4] - Huawei's "legion-style" strategy involves deep collaboration with 62 leading hospitals to innovate AI solutions tailored to specific medical specialties [4][5] - The ChatZOC ophthalmology model and the Dingbei Health model are examples of Huawei's initiatives to enhance healthcare accessibility and proactive health management [5]