眼科大模型ChatZOC

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中国眼科“飞行医院”要来了
Jing Ji Guan Cha Wang· 2025-09-20 01:33
经济观察报 记者 张锐 58岁的陈自勇来自云南省红河哈尼族彝族自治州大庄乡,他到中山大学中山眼科中心(下称"中山眼科中心")求医时,双眼已经因糖尿病眼底病变几乎失 明。 "这是我们的最后一站。"9月18日,陈自勇的妻子对经济观察报记者说,"找回一些光感都可以,那和看不见(完全失明)不一样,那一点光是他觉得自己没 有被生活打败的信心和希望。" 陈自勇这样的求医群体,也是中山眼科中心启动眼科"飞行医院"建设的重要动力之一。 9月10日,经济观察报记者从广东省新闻办举行的"广东卫生健康新质生产力"新闻发布会上获悉,我国首个基于国产大飞机的眼科航空医疗项目正式启动, 未来C919等国产大飞机将被改装为专业眼科飞行医院,搭载国产设备与智能远程系统,实现"飞机到、光明到"。 当天,中山眼科中心主任林浩添在接受媒体访问时表示,今年底,计划在新疆塔县实现"中国眼科飞行医院"首飞。 医疗资源的稀缺与错位 "全国眼科医生只有6万多名,能做精细眼科手术的医生就更少了。"9月10日,中山眼科中心博士徐安迪向经济观察报记者表示。 根据中山眼科中心的统计数据,白内障是全国第一大致盲眼病,60岁以上人群的白内障患病率高达80%。而同时,大 ...
广州发布60个“AI+”应用场景 覆盖制造交通等多个领域
Guang Zhou Ri Bao· 2025-08-07 08:28
Core Viewpoint - The event held in Guangzhou marks a significant step in integrating artificial intelligence (AI) with the real economy, showcasing 60 AI application scenarios from state-owned enterprises across various sectors such as manufacturing, transportation, and urban governance [1][2]. Group 1: AI Application Scenarios - The first batch of AI application scenarios was derived from the operational needs of 15 state-owned enterprises, providing practical and representative use cases for AI technology implementation [2]. - Key sectors for AI applications include manufacturing, transportation, urban governance, energy and environmental protection, and tourism, with specific examples such as GAC Group's focus on intelligent cockpit and driving, and Guangzhou Bus Group's needs for intelligent warehousing robots [2][3]. - Some scenarios highlight industry-leading initiatives, such as Lingnan Group's "Easy Travel AI Tourism Intelligent Platform" and Guangzhou Water Investment Group's smart drainage and water supply management systems [2]. Group 2: AI Industry Ecosystem - Guangzhou's AI industry ecosystem is expanding, with a total of 33 registered large models, 19 of which were added this year, covering key areas like smart cities and intelligent manufacturing [4]. - The city has established over 30 AI professional parks and has a fund scale exceeding 70 billion, attracting over 30 strategic scientists and training approximately 12,000 AI-related talents annually [4]. - The Panyu Algorithm Competition has drawn participation from over 40 countries, fostering the growth of more than 60 enterprises and establishing a benchmark for talent and industry integration [4]. Group 3: Infrastructure and Project Development - State-owned enterprises in Guangzhou are actively enhancing AI infrastructure, with Guangzhou Data Science Group leading the construction of a public computing power center that manages over 11,000 P of computing resources [6]. - Notable projects include GAC Group's upcoming L3 autonomous driving vehicle and the launch of the first vertical smart trading model by the Trading Group, which streamlines the entire bidding process [7]. - The construction of the China AI (Guangzhou) Industrial Park, with an investment of 8 billion, aims to create a comprehensive AI hub for research, transformation, and office space [7]. Group 4: Future Plans - Guangzhou plans to release 100 key AI application scenarios within the year, covering critical industries such as manufacturing, healthcare, transportation, finance, and education [8]. - The city aims to create a one-stop platform for AI technology, facilitating the transition from laboratory innovations to practical industry applications [8]. - Future initiatives will focus on identifying and promoting more replicable and scalable AI application scenarios, positioning Guangzhou as a leading hub for AI innovation and application [8].
AI技术既能“上天”又能“下地”
Ke Ji Ri Bao· 2025-05-05 23:17
Group 1 - The core viewpoint of the articles highlights the advancements and initiatives taken by Sun Yat-sen University in the field of artificial intelligence (AI) and its applications across various sectors [1][2][3][4][5] Group 2 - Sun Yat-sen University has developed a software for astronaut motion characteristics data collection, showcasing its capabilities in AI and space technology [1] - The university's medical team has created the LucaProt algorithm in collaboration with Alibaba Cloud, which identifies over 160,000 RNA viruses, demonstrating the integration of AI in virology research [2] - A comprehensive AI education system is being established, breaking down barriers between disciplines and fostering interdisciplinary talent in AI [3] - The "AI+Drone" model for smart agriculture has led to a 20% increase in lychee yield and quality, indicating the practical application of AI in agriculture [4] - The university has launched the ChatZOC model in collaboration with Huawei, improving service efficiency in ophthalmology by 75% [4] - Sun Yat-sen University has established multiple national and provincial-level innovation platforms, converting high-value technological achievements into productive forces [4] - The university's AI Research Institute plans to initiate 17 research centers to enhance interdisciplinary collaboration and innovation in AI [5]