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“AI+医学”在广州多场景落地 - 经济观察网 - 专业财经新闻网站
This article reports on the progress of AI technology applications in medical scenarios such as pathological diagnosis, surgical procedures, and new drug R&D in Guangzhou, covering cases including domestic pathological scanning equipment, rare disease data centers, surgical assistance models, and stem cell preparation. Follow·
Yesterday·386 words (about 2 min)
AI Summary & Key Points
Summary
The article introduces several cases of AI technology applications in the medical field in Guangzhou. The domestic AI pathological scanning equipment developed by the Tsinghua Pearl River Delta Research Institute achieves a scanning speed of 15 seconds per slide, with an AI-assisted negative exclusion rate exceeding 80%, and has been applied in over 30 Grade A tertiary hospitals. The institute has also established a Rare Disease AI Data Center (RDDC) that can analyze genetic reports and support new drug trials. Additionally, the Vivim model identifies vascular boundaries in real-time during laparoscopic hepatectomy to reduce the risk of injury, while the RC-GPT large model is used for standardized iPSC preparation and has entered clinical trials for Parkinson's disease. These applications cover multiple stages from diagnosis to treatment and new drug R&D.
Main Points
* 1. Domestic AI pathological scanning equipment achieves 15 seconds per slide, breaking the overseas monopoly.
The equipment developed by the Tsinghua Pearl River Delta Research Institute has been applied in over 30 Grade A tertiary hospitals, with an AI-assisted negative exclusion rate exceeding 80%, solving the problem of traditional equipment's dependence on imports.
* 2. Rare Disease AI Data Center supports genetic analysis and new drug trials.
The RDDC center can locate pathogenic mutations and collaborate with research teams to build animal models, providing technical support for difficult diseases such as ALS.
* 3. AI models demonstrate clinical value in surgical procedures and stem cell preparation.
The Vivim model identifies liver vascular boundaries in real-time to reduce surgical risks; RC-GPT achieves standardized iPSC culture and has entered clinical trials for Parkinson's disease.
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据广州日报消息,广州正大力推进AI与医疗产业深度融合,将智能技术应用于病理诊断、外科手术、新药研发、干细胞制备等多个医疗业务场景,赋能临床诊疗与生物医药产业发展。
清华珠三角研究院推出国产化AI病理扫描设备。该设备15秒即可完成单张切片扫描,AI辅助排阴率超80%,现已进驻广州30余家三甲医院,打破了海外设备垄断局面。
研究院搭建了罕见病AI数据中心RDDC。该中心能够解析基因报告并定位致病突变,还可联合科研团队构建动物模型,为渐冻症等疑难病症的新药试验提供重要的技术支撑。
Vivim人工智能模型应用于腹腔镜肝切除手术,每秒25帧实时识别肝脏血管边界,降低术中血管损伤风险。目前,单中心临床试验已经启动,后续将推进多中心研究。
RC-GPT多模态AI大模型用于iPSC制备,解决传统制备依赖人工经验、批次不稳定的难题,实现细胞培养标准化。相关技术已进入帕金森病临床试验阶段。
Tags
Medical AI
Pathological Diagnosis
Surgical Procedures
Drug R&D
Stem Cell Technology
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