Workflow
国产手术机器人
icon
Search documents
肿瘤治疗有哪些突破?专家齐聚分享多癌种诊疗进展
Zhong Guo Jing Ji Wang· 2025-12-24 03:22
12月21日,2025"人民好医生 金山茶花计划"总结交流在北京举行。现场汇集了肺癌、肝胆肿瘤、胃 癌、食管癌、乳腺癌、妇科肿瘤、泌尿肿瘤、淋巴瘤、鼻咽癌等领域专家,共同探讨癌症防控新进展, 助力推进癌症防控事业高质量发展。 中国科学院院士、复旦大学附属中山医院名誉院长樊嘉分享了肝胆肿瘤治疗进展。他说,当前肝胆肿瘤 治疗已迈入免疫主导阶段,免疫治疗与靶向、介入治疗的协同联动,显著延长了患者生存期,还为部分 不可切除肿瘤创造根治机会。2025年,国内外权威指南修订、国内多项专家共识出台,进一步推动肝胆 肿瘤诊疗从"经验型"向"循证型"转变。 "得益于精准诊疗的推广、靶向治疗和免疫治疗的应用等,肺癌患者的生存期和生活质量得到了有效延 长和提升。"广东省人民医院首席专家、广东省肺癌研究所名誉所长吴一龙介绍肺癌领域学术科研创新 进展:"近年来,SCLC(小细胞肺癌)领域迎来突破性变革,全新的T细胞抗体激活类药物,在SCLC 二线治疗中效果显著,为临床提供了新的治疗范式;在NSCLC(非小细胞肺癌)早中期领域,相关研 究显示纳武利尤单抗联合化疗新辅助治疗能有效提升患者5年生存率,多款创新药物及治疗方案的出 现,推动非小 ...
专家齐聚金山茶花计划总结交流 共探癌症防控新路径
Ren Min Wang· 2025-12-23 01:51
癌症是危害公众生命健康、制约居民健康水平提升的重要因素。12月21日,2025"人民好医生·金山茶花计划"总结交流在北京举行。现场汇集了肺癌、 肝胆肿瘤、胃癌、食管癌、乳腺癌、妇科肿瘤、泌尿肿瘤、淋巴瘤、鼻咽癌等领域专家,共同探讨癌症防控新进展,助力推进癌症防控事业高质量发展。 立足健康需求 共商癌症防治对策 癌症防治是健康中国建设的重要课题,需锚定群众健康需求,破解现实挑战,凝聚多方合力,推进高质量发展。 中国科学院院士、复旦大学附属中山医院名誉院长樊嘉分享了对于肝胆肿瘤治疗的一些观察与思考。他说,当前肝胆肿瘤治疗已迈入免疫主导阶段,免 疫治疗与靶向、介入治疗的协同联动,显著延长了患者生存期,还为部分不可切除肿瘤创造根治机会。2025年,国内外权威指南修订、国内多项专家共识出 台,进一步推动肝胆肿瘤诊疗从"经验型"向"循证型"转变。樊嘉建议,未来诊疗需向精准分层、机制协同、全病程管理深化,直面百姓健康关切,既要强化 高危人群早筛早诊与科普宣传,优化联合治疗方案,也要鼓励中青年医生投身临床科研创新、紧盯国际前沿。随着人才成长与技术进步,我国肝胆肿瘤防治 事业将实现更高质量发展。 目前,肿瘤治疗已迈入精准化、个 ...
《焕新:智能医疗》|当意念操控成为现实,科技正在重塑生命
Huan Qiu Wang Zi Xun· 2025-12-15 06:08
我们离"人人可及的精准医疗"还有多远? 来源:北京科协 当意念可以操控机械,当手术刀变成"蛇形臂";当AI从实验室走进基层医院——这不是科幻电影,而是 北京正在发生的医疗现实。 一位卧床六年的患者,如何用"思想"重新端起水杯? 一台国产机器人,怎样在鹌鹑蛋上完成亚毫米级"雕刻"? 下面的故事,或许会颠覆你对医疗的认知。 一场车祸,改变了她的人生; 一次手术,给了她重生的机会。 让电脑读懂人脑,这是如何做到的? 从完全依赖轮椅到重新站立,患者只用了三个月。 这背后,是怎样的技术突破? 像蛇一样灵活的手臂,还能360度旋转。 国产手术机器人,究竟达到了什么程度? 磁共振还能看清楚细节吗? 一支笔,连接蓝牙,就能完成疾病的早期筛查? AI是怎么实现的? 北京:智能医疗的创新高地 从脑机接口到手术机器人,从昌平生命科学园到大兴生物医药基地,北京正以科技为引擎,推动医学与 智能深度融合。 想知道他们是如何做到的吗? 敬请关注"科技创新调研行"——六集"人工智能+"主题纪录片《AI向新力》之《焕新:智能医疗》。 一起见证智能如何重塑医疗,生命如何焕新。 体积缩小50倍,成本降至1/10。 "科技创新调研行"——六集"人工 ...
业绩增长迅猛,第二增长曲线全面放量!首程控股(0697.HK)演绎"戴维斯双击"
Ge Long Hui· 2025-08-31 12:35
Core Viewpoint - The recent interim results of Shoucheng Holdings have demonstrated strong resilience in its core business, achieving significant breakthroughs in revenue and net profit, laying a solid foundation for future growth [1][2]. Financial Performance - Shoucheng Holdings reported a total revenue of approximately HKD 731 million for the first half of the year, representing a year-on-year growth of 36%. The asset operation business generated HKD 511 million, up 26%, while the asset financing business saw a substantial increase of 69% to HKD 220 million [5]. - The company's net profit attributable to shareholders reached HKD 339 million, a 30% increase year-on-year, with adjusted EBITDA growing by 22% to HKD 587 million [5]. Market Position and Strategy - The company has established a comprehensive national network in the parking asset management sector, achieving full coverage of major transportation hubs across the country, which enhances its brand influence and market position [6]. - Shoucheng Holdings is actively transitioning its traditional parking business towards an integrated service model that includes charging facilities, aligning with the growing trend of electric vehicles [6]. - The company has launched an AI customer service system that has reduced the workload of human staff by over 50%, indicating a significant transformation in operational efficiency [7]. Investment and Growth Potential - The asset financing segment has shown remarkable growth, with a 69% increase, highlighting the company's strong capabilities in capital operations [8]. - Shoucheng Holdings has established a 10 billion RMB stabilization fund in partnership with China Life, further solidifying its market position in the REITs sector [8]. - The company has made significant investments in the robotics sector, including companies like Yushutech and others, which are expected to drive future growth and innovation [9][10]. Financial Health and Dividends - Shoucheng Holdings has a total asset value of HKD 14.35 billion, with a low debt ratio of only 7.9%, indicating strong financial stability [14]. - The company has a cash reserve exceeding HKD 8 billion, providing a solid buffer for future opportunities and risks [14]. - The company plans to distribute a special interim dividend of HKD 1.159 billion for the fiscal year 2025, reflecting its commitment to shareholder returns [17]. Conclusion - Shoucheng Holdings is transitioning from a traditional infrastructure service provider to a new infrastructure platform embracing the smart economy, supported by a robust financial structure and strategic investments in high-growth sectors like robotics [20][21].
跨越万余公里 用国产机器人做手术 手术用时五十分钟顺利完成 患者恢复良好
Ren Min Ri Bao· 2025-07-24 22:21
Core Viewpoint - The successful implementation of a remote robotic surgery for liver cancer demonstrates the advancements in telemedicine and robotic technology, highlighting the potential for improved healthcare access in remote areas [1][2][3]. Group 1: Surgical Innovation - A domestic surgical robot was used to perform a complex liver resection surgery on a patient located over 10,000 kilometers away, showcasing the capabilities of remote robotic surgery [1]. - The surgery was completed in 50 minutes, with the surgical team conducting a thorough pre-operative assessment and planning [1]. - The operation was supported by a stable robotic system, clear real-time imaging, and effective communication between experts in France and Zhejiang [2]. Group 2: Remote Medical Collaboration - Zhejiang University Shao Yifu Hospital is actively involved in the innovation and development of domestic surgical robots, conducting remote surgeries regularly across multiple hospitals [2]. - Collaborations with hospitals in regions like Xinjiang and Zhejiang have led to the implementation of various remote medical services, addressing healthcare disparities in remote areas [2]. Group 3: Technological Impact - The development of 5G technology has significantly enhanced the speed and stability of remote information exchange, facilitating advancements in remote robotic surgery [3]. - The evolution of surgical robots from mere tools to comprehensive medical platforms is transforming minimally invasive surgery and expanding access to advanced medical care [3].
医疗AI 必须以“人机对齐”为前提
Jing Ji Wang· 2025-04-30 02:21
Core Viewpoint - The article discusses the importance of AI ethics, particularly in the medical field, emphasizing the need for "human-machine alignment" to ensure AI technologies align with human values and societal norms [2][3]. Group 1: Human-Machine Alignment - Human-machine alignment is defined as the process of ensuring AI's goals, behaviors, and outputs are consistent with human values and social norms, representing a systematic approach to addressing AI ethical issues [3]. - The concept of human-machine alignment has historical roots, with its principles being validated through practical applications in AI technology [3][6]. Group 2: Importance in Medical AI - In the medical field, human-machine alignment serves three core functions: explainability, trustworthiness, and human harmony [4][5]. - Explainability allows AI to present clear decision-making logic, which helps alleviate concerns from both doctors and patients [4]. - Trust is built when AI recommendations adhere to medical ethics, enabling humans to rely on AI for health-related decisions [5]. - Human harmony ensures that AI applications do not deviate from genuine human needs, incorporating emotional and ethical considerations into algorithm design [5]. Group 3: Ethical Compliance in Medical AI - Medical AI applications face unique challenges, including data sensitivity, irreversible outcomes, and complex responsibility structures [7]. - A collaborative approach across five key areas—technical architecture, data set construction, hospital management, patient awareness, and industry regulation—is essential for ensuring ethical compliance in medical AI [7][9]. Group 4: Data Mechanisms - Establishing a "data flywheel" mechanism is crucial for continuous model optimization, creating a closed-loop system that integrates user feedback into AI development [11]. - A dual mechanism for data access and incentives is necessary to ensure data quality and encourage participation from hospitals and doctors in the alignment process [12]. Group 5: Regulatory Framework - A unified national certification standard for medical AI alignment should be established, with third-party evaluations to ensure compliance and robustness [10]. - Regular assessments by multidisciplinary ethical committees can help maintain alignment and prevent technological biases [10].