肺癌病理基因多模态大模型DeepGEM2.0在广州发布,标志着其正式迈向大规模临床应用验证阶段。
中国工程院院士钟南山在广州表示,AI新时代科研要“顶天立地为人民”。会上发布的肺癌病理基因多模态大模型DeepGEM2.0启动多中心临床验证,旨在降低肺癌基因检测费用并推动技术下沉基层。
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肺癌是我国发病率和死亡率居首位的恶性肿瘤,基因检测是靶向治疗的前提,但受可及性及经济条件制约,部分患者错失治疗机会。
中新网广州10月10日电 (记者 蔡敏婕)“在AI新时代,科研要做到‘顶天立地为人民’。”中国工程院院士钟南山10日在广州表示,“顶天”就是用 AI技术、用新技术;“立地”,就是让老百姓用得起,用起来简便、价廉、有效、安全。
AI赋能肺癌精准诊疗高峰论坛暨国家呼吸医学中心肺癌精准诊疗规范化项目启动会10日在广州举行。会上,肺癌病理基因多模态大模型DeepGEM2.0发布,同时启动由全国50家医疗机构共同参与的多中心科研项目,标志着该大模型正式迈向大规模临床应用验证的阶段。
肺癌是我国发病率和死亡率均居首位的恶性肿瘤,基因检测是靶向治疗的前提。然而,受检测可及性、经济条件等因素制约,相当比例患者未能完成必要的基因检测,错失靶向及精准治疗机会。
为破解这一难题,2025年,广州医科大学附属第一医院便携手金域医学和腾讯,发布“看图识基因”的病理基因多模态大模型DeepGEM,以病理切片为输入,预测肺癌相关基因变异概率及其在组织内的空间分布。
历经近一年的多中心数据验证与临床打磨,依托来自全国31个省份近8000张数字病理切片的数据迭代优化后,DeepGEM正式升级为2.0版本,打通了DeepGEM在临床场景落地应用的路径,具备良好的适用性与兼容性。
广州医科大学附属第一医院副院长、国家呼吸医学中心副主任梁文华称,DeepGEM2.0可以实现最快1分钟内完成“看图识基因”,能够一次性完成内地已获批肺癌靶向药对应靶点基因的预筛工作,后续还将轻量化部署在超500家医疗机构。依托“AI初筛+特定基因靶向验证”的模式,这项技术更有望将肺癌基因检测的费用降低至数百元区间。
钟南山表示,DeepGEM2.0的升级意义,不仅仅在于如何把最先进的技术用到基层;更在于它体现了产学研、医教研的结合,“希望科研团队,能把它从样品变成产品、商品,把论文的成果推广到基层,实践在祖国大地上,真正做到‘强基降本’”。
金域医学人工智能专项负责人刘斯介绍,目前DeepGEM2.0已经打通新增基因的标准化开发路径,后续可根据新药获批动态快速扩容基因,开发周期只需12-16周,保持模型基因库与前沿靶向药物同步更新。
随着技术落地医疗机构的路径全面打通,由梁文华团队发起的DeepGEM2.0多中心前瞻性随机对照研究项目以及卫生经济学研究也同步启动,分别从临床应用大规模验证和经济可及性两个层面,为AI辅助病理诊断应用于肺癌精准治疗提供高级别循证依据。
会上,广州医科大学附属第一医院国家呼吸医学中心还携手金域医学,以及浙江大学医学院附属第二医院、福州大学附属省立医院、巩义市人民医院、平舆县人民医院等数十家省部级医疗机构、基层医院,共同成立国家呼吸医学中心肺癌精准诊疗联盟,开展标准制定、MDT讨论、授课与带教等工作,推动肺癌精准诊疗规范化落地。
AI outlook — possibilities, not facts
DeepGEM2.0将在超500家医疗机构进行轻量化部署
Likely · Within months

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