Workflow
中医药+人工智能
icon
Search documents
名医号秒光,AI帮开方!黄埔把“广东习惯”做成百亿产业
Nan Fang Du Shi Bao· 2025-09-17 13:24
编者按: 生物医药产业是"永远的朝阳",也是新一轮全球科技革命与竞争的关键赛道之一。放眼中国乃至全球生 物医药创新版图,耀眼的粤港澳大湾区内,广州开发区、黄埔区正从"跟跑者"蜕变为"领跑者",产业规 模跃升千亿级,药企数量与创新成果"双井喷",不仅填补了多项国内空白,更与国际巨头同台竞技,展 现中国生物医药的硬核实力。是什么成就了今日黄埔的生物医药产业? 今年,广州加快构建"12218"现代化产业体系,生物医药与健康产业依旧承载战略重任。身处全球激烈 竞争格局中,站在新的历史节点上,黄埔如何集聚优势、突破瓶颈,打造世界级产业集群,成就明日的 生物医药? 南方都市报即日推出"生物医药看黄埔"报道专题,多维度剖析黄埔系统构建生物医药产业生态的来龙去 脉、内在逻辑与成功经验。第四篇关注,黄埔探索中医事业产业融合发展新范式。 龙湖街社区卫生服务中心,在成立一年后的2023年初,完成中医馆改造,提供针灸、推拿、拔罐等中医 适宜技术服务,如今床位从30张增至43张,依然"一床难求"; 穗东街社区卫生服务中心,8位临床医生中,除专攻影像及年资较高者外,其余4人纷纷踏上"西学中"之 路,探索中西医融合的诊疗新模式…… 根植民 ...
深圳 “仲思”智慧中医平台入选广东“AI+医疗”典型案例
Nan Fang Du Shi Bao· 2025-07-21 13:17
Core Insights - The Guangdong Provincial Health Commission has announced the first batch of "Artificial Intelligence + Healthcare" application scenarios, with the "Zhongsi" Smart Traditional Chinese Medicine Platform from Guangzhong Medicine Shenzhen Hospital being selected for provincial promotion, indicating a significant achievement in the integration of traditional Chinese medicine and artificial intelligence [1] Group 1 - The "Zhongsi" platform is based on a large language model with 34 billion parameters, utilizing over 3.8 million high-quality medical instruction data and 60,000 detailed traditional Chinese medicine instructions, integrating technologies such as ASR voice recognition and knowledge graphs [1] - The platform enables real-time transcription of doctor-patient dialogue, automatic extraction of patient symptoms and examination indicators, and ensures medical record quality through an intelligent error correction mechanism [1] - The platform has been deployed in 31 community health institutions and one community hospital under Guangzhou University of Traditional Chinese Medicine Shenzhen Hospital, serving 200 clinical physicians with a total consultation volume of 5,000, improving community health service efficiency by 20% [2] Group 2 - The platform analyzes and integrates multimodal diagnostic data to provide comprehensive diagnostic support for doctors, enhancing follow-up efficiency and achieving a closed-loop management of "diagnosis - follow-up" [2] - Features such as intelligent inquiry recommendations, disease differentiation, prescription recommendations, and care plan suggestions are available to assist physicians during consultations [2] - After consultations, the system automatically synchronizes diagnostic data and health reports to the platform, supporting the intelligent follow-up system and gradually building a local data pool [2]