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对话联影集团薛敏：医疗AI正在从模型竞争，走向医疗体系的重构_我的网站

一 |     The cell phones, tablets, and laptops left behind by veterans who died by suicide may offer insight that could help prevent future military suicides, according to a nonprofit dedicated to analyzing the data from the devices.Stop Soldier Suicide collects the technology as part of its initiative, "The Black Box Project," which is named after the black boxes found on planes that help determine the cause of aviation incidents."If we could gather novel data from those that have died by suicide, we might be able to recreate the last year of life," Stop Soldier Suicide CEO Chris Ford told ABC News.Veterans are 57% more at risk for suicide than non-military adults and around 6,000 veterans die by suicide each year, according to the Department of Veterans Affairs."I think we can prevent needless suffering and a ton of loss of life," Ford said.That kind of loss is something David McDaniel, whose son Connor died by suicide at the age of 26, knows all too well.Connor McDaniel joined the Army after high school, and, according to David, he appeared upbeat during his deployment to Afghanistan, where he was assigned to protect local villages from the Taliban."Some of his Army buddies told me that he was making them laugh while they were being shelled in Afghanistan," David McDaniel told ABC News.But it wasn't long after Connor came home that David McDaniel says he sensed a shift in his son's behavior to include "more anger, a lot of frustration, a lot of gloominess."On Sept. 1, 2021, David says his son entered a wooded area with a firearm."I start screaming his name as I'm walking up the field. And just then the police, the sheriff's department shows up and they tell me to come back down," McDaniel said.He followed their direction, but on the car ride home, an officer called him and said Connor was dead after he fired upon sheriff's deputies and the deputies returned fire and killed him.Connor's death was determined to be a suicide. The district attorney's office concluded that the officers' actions were justified.While grappling with his son's death, David McDaniel was immediately drawn to the Black Box Project, which uses forensic software to unlock and comb through service members' devices provided by their loved ones to review their activity in the weeks leading up to their suicides.McDaniel works in the tech field and says if the project can find repeated patterns in online searches, they may be able to help others to prevent suicides.For instance, McDaniel says his son searched for SGLI, Servicemembers' Group Life Insurance, before his death. If a veteran were to make a similar search and look up "suicide" in the future, for example, McDaniel suggests it could trigger an ad for Stop Soldier Suicide to pop up and provide resources in the search results.Ford says the nonprofit uses machine learning, a subfield of artificial intelligence, to analyze texts and notes in order to determine sentiment or emotional tone, such as anger or desperation. He says they can also track phone usage of the deceased veterans to monitor their past sleep cycles and trace their past geo-locations."Machines can go through computations a lot faster than humans, and they can find signals that we often miss," Ford said.Since launching the Black Box Project in April 2020, Stop Soldier Suicide has received over 100 devices, Ford said. So far, he says they're seeing three patterns before most of these suicides: more anger, different sleep patterns, and social isolation.Ford's team includes Ph.D.s in clinical psychology and suicide researchers. A scientific advisory committee helps steer where and what to look for on the devices.The findings are still preliminary, according to the nonprofit, but one goal is to help the organization decide where, when, and how to target their own mental health resources, like adding more hotline staff at certain hours and ensuring calls are picked up overnight.When asked about privacy concerns of collecting data, Ford said it's something they think about daily."We don't resell the data. We don't push it out to others. We use it for our own research purposes so that we can best understand risk and then give those devices back to those families intact," Ford said.Current privacy laws do not carry on past death, meaning the next of kin typically gains new authority.Petra Oxford-Jackson, whose veteran husband Anthony died by suicide, says she gave his phone to the organization with the possibility it could save even one life."I truly believe he would have been okay with it, and it's a hard thing for a survivor to give up something so personal as his cell phone," Oxford-Jackson told ABC News.The Black Box Project received $3 million in funding from the Department of Veterans Affairs earlier this year.If you are struggling with thoughts of suicide or worried about a friend or loved one, call or text the Suicide & Crisis Lifeline at 988 for free, confidential emotional support 24 hours a day, seven days a week.。    智东西（公众号：zhidxcom）     作者 | 毕伟豪     编辑｜漠影          史上规模最大的AI盛会——世界人工智能大会WAIC 2026刚刚落下帷幕。今年，人们讨论的焦点除了芯片、模型、智能体、AI硬件和机器人这些“热词”，还有AI如何真正进入产业深水区的话题。         医疗，正是其中最受关注的领域之一。从通用大模型厂商，到联影等医疗科技企业，都在加速布局医疗AI。

二 | 但随着AI逐渐走进真实临床，一个新的问题也浮现出来：如果AI只是医院里的一个工具，它究竟能否真正改变医疗行业？          在WAIC期间，联影集团正式发布“元医院战略”。发布会上，一场围绕“五年后，是否有超过50%的就医行为发生在医院外”的人机辩论，也把讨论引向了关于未来医疗的命题。         ▲人机辩论会现场          联影给出的答案，是“元医院”。         它不是建一座虚拟医院，也不是把多个AI产品简单打包，而是希望借助AI打破院内院外、线上线下的边界，让医疗服务能力突破时间与空间限制，从疾病治疗延伸到全生命周期健康管理，实现质量、效率、成本与可及性方面的系统性跃升。

三 |          元医院战略的背后，除了对未来医疗的思考与构想，还隐藏着联影对于医疗行业数智化的愿景，今天，我们与联影集团董事长薛敏展开了深入对话，试图走近联影的秘密宏图。         ▲联影集团董事长薛敏          一、元医院，不是建一座新医院，而是重构未来医疗          智东西：这次世界人工智能大会期间，我们看到联影隆重发布了“元医院战略”，可否为我们简单介绍下这项战略？          薛敏：此次发布的“元医院战略”，是牵引联影集团未来发展的一项重要数智化战略，也是我们充分思考后，对未来医疗的一份构想。

四 |          依托集团化布局，联影不仅在底层自研芯片、全栈智能化诊疗装备和可穿戴设备已有长期积累，在多模态医疗大模型、智能体，统一数据与知识平台等方面也拥有前瞻的布局。这些资源禀赋，赋予我们在数据端、设备端、模型端，与全球一万六千多家医院合作伙伴深度合作共创的能力。         眼下，AI时代正深刻重塑千行百业，医疗也将迎来一场系统性的改变。借助“元医院战略”，我们希望在未来三到五年，与合作伙伴共同推动医疗系统和医疗范式的深刻变革，实现“碳基生命 × 硅基智能”融合共生，并基于院内和院外全生命周期的数据联动和闭环，几何倍数提升我们认知生命、守护生命的能力。         ▲联影智能联席CEO沈定刚（左一）和联席CEO周翔（右一）发布元医院战略          智东西：请展开聊聊，联影将如何开展这份面向未来医疗的实践？          薛敏：我们认为，未来医疗将会从以下几个路径不断演进、相互赋能，最终推动医院范式和能力边界的改变：          一是硬件装备层。当 AI 进入真实物理世界，磁共振、CT这些智能装备，将从被动响应的工具，进化为能够自主感知、决策、行动、反馈并且持续进化的具身智能诊疗机器人，能够自主感知并分析患者的实时状态，在医生监督下自主规划扫描及手术方案，并与治疗环节无缝衔接，引导更自主、微创、精准高效的治疗和干预，最终在闭环学习中持续进化。         全栈工作流的智能化，也将推动这些诊疗机器人实现医疗领域的“高阶智驾”，为患者提供端到端全流程自然无感的诊疗体验。         二是模型能力层。我们打造了覆盖影像、文本、视觉、语音、混合大模型在内的多模态医疗垂域大模型，以及一系列能够在不同场景执行专业任务的医疗智能体，作为未来医疗的“超级大脑”。         它们能将专家的经验、知识、临床思维和流程方法，进行吸收并沉淀，转化为可调用、可复用，可持续迭代和规模化共享的数智能力，实现医生诊疗效能及医院服务效能的倍数提升；还能理解任务、实现资源的组织与协同调度，让原本分散的单点智能，跨越系统、模型与流程的壁垒，完成复杂的医疗任务，让系统主动理解并响应人的需求。         三是院外拓展层。

五 | 我们希望通过医疗级可穿戴设备，持续采集患者在真实生活环境中的生理与行为数据，使其成为医疗系统延伸到院外的“神经末梢”。

六 | 通过院外院内多维度数据融合联动，提升患者对自身健康的理解与主动干预能力。

七 |          ▲WAIC联影展台          在这些路径之下，我们也完成了底层能力布局。在底层元器件层面，联影实现了从“智能传感器”到“信号采集与转换芯片”再到“边缘侧AI芯片”在内的芯片自研，让机器能够持续精准地感知物理世界，夯实数智化基础；而统一的数据与知识平台，AI 原生的PACS、EMR等医院核心信息系统，为我们智能的持续升级提供了扎实的数智底座。         智东西：在元医院构想下，未来医疗的场景会有什么改变？          薛敏：整个医疗体系的运营和服务模式将被重新定义。         我们不是要开设一家新医院，也不是把医院搬进虚拟空间，核心是通过大模型等技术实现「数智孪生」，复制顶尖医生的诊疗智慧，打破院内院外、线上线下的边界，让医院的服务能力在数智空间中得到拓展、增强、升维，最终实现医疗服务在质量、效率、成本与可及性方面的系统性跃升。         比如，过去患者必须到医院，进入不同科室，在多个系统和流程之间流转；医生则要从分散的影像、病历和检验系统中寻找信息。元医院希望改变这种状态：让数据和知识主动服务医生，让不同智能体和设备围绕患者协同，让部分随访、风险监测和健康管理延伸到家庭和社区。         二、医生会成为“超级医生”，患者会成为“超级个体”          智东西：您认为医生将会扮演什么角色？          薛敏：我们认为，未来医生不会被AI替代，而是在AI协同下获得更强的诊疗能力、更高的工作效率和更广的服务半径，成为“超级医生”。         过去，医生是在使用一个个单点的AI工具，未来的“超级医生”则将拥有一个能够统一调度所有医疗能力的智能伙伴——元医生。举例来说，围绕一位肝肿瘤患者的诊疗流程，从患者查房、病史调阅与分析、医学影像解读、诊疗方案制定、手术规划到术后管理，“元医生”将根据不同临床任务，动态调用不同的医疗智能体，协同完成整个诊疗过程。         当医生拥有了更完整的信息、更及时的知识支持和更高效的执行工具，他们就可以把更多精力放在复杂决策、风险权衡、医患沟通和人文关怀上。         此外，我们还会将专家的经验、知识、临床思维和流程方法，转化为可调用、可持续迭代和规模化共享的智能体，从而增强基层医生的能力水平，也让专家医生能够以有限的时间精力服务到更广泛的人群。         ▲超级医生演示现场          智东西：患者又将如何具体受益？          薛敏：当元医院让医院的能力突破物理空间限制，未来，医疗服务也就不会只发生在到院那一侧，而会延伸到身边、家庭和长期健康管理的全过程。         未来每个患者也会成为“超级个体”，不再只是在生病后才被医疗看见，而是借助智能可穿戴设备，健康状态在日常生活中就能被持续监测、主动预警和及时干预。         此外，通过院外院内多维度全生命周期生命健康数据融合联动，每个人都可以建立起自己的数智孪生，从而不断增进对自身生命和疾病更深层次的理解，提升主动干预的能力。

八 |          三、从严肃医疗出发，集团布局构筑核心壁垒          智东西：现阶段，联影的医疗AI已经发展到什么程度？          薛敏：得益于９年前果断的提前布局，联影如今正走在行业数智变革的前列。         在智能装备方面，我们早已经将AI从源头全面融入影像设备之中，让设备在智能原生中持续进化。比如说到医疗机器人，大家可能首先想到的是手术机器人，但实际上我们的大型影像设备在原生AI的赋能下，已经实现了包括摆位、扫描、重建、质控和报告在内全栈工作流的智能化，能够自主感知并分析患者在三维空间里的实时状态，与患者和技师进行主动交互，高效精准匹配用户需求，实现对患者的主动关怀和全生命周期自我健康管理。         接下来，我们还在全力推进更具有颠覆性的下一代全智能医疗装备的研发，并在物理AI驱动下，布局具身智能诊疗机器人。

九 |          智能模型与智能体方面，我们布局了文本、影像、语音、视频和混合多模态模型，并结合患者多模态的信息，开发了更加个性化、能够真正辅助医生诊疗全流程的十多款智能体。我们的临床场景也已经走到了核心的临床诊疗科室，比如说呼吸内科、肝胆外科，逐渐具备走向覆盖诊前、诊中、诊后并连接多个科室的系统能力。         我们的医疗级智能可穿戴设备，比如助听器，搭载自主研发的芯片和深度神经网络模型，可以模拟人脑在万千环境中对声音和噪音进行筛选和过滤。作为端侧智能的硬件入口，未来我们还将整合听力、脑电等综合信息，在多病共管领域与临床合作伙伴进行更多前沿探索。         ▲联影助听器          但总体而言，元医院并非一蹴而就的终极形态，而是一套持续演进的能力体系，需要与医院、医生、科研机构以及生态伙伴共同探索、共建。最终它会像诸多贴近日常习惯的新技术一样走演进路线，润物细无声地让患者感受到看病更便捷、等待更少、医疗资源触手可及。

十 |          ▲联影助听器实物          智东西：刚提到联影在医疗AI实际已经走在前列，现在很多互联网大厂也已经入局医疗AI，联影和他们的核心差异是什么？护城河是什么？          薛敏：医疗是一项高度复杂、强监管、强责任的行业，它需要长期的临床积累、真实场景验证以及持续的技术创新，这也是联影最大的护城河。联影从成立第一天起就深耕严肃医疗，以严肃医疗场景为核心出发点，聚焦解决临床、患者端的真实痛点。         我们接触的不只是最终生成的一份报告，而是检查、诊断、治疗全过程产生的原始影像数据、设备数据以及真实临床流程，这些数据占据了医疗数据的70%以上。联影也打造了一支“医疗原生的AI团队”，团队成员既懂医疗的专业逻辑，又懂AI技术开发，这些沉淀下来的隐性专业知识与能力，构建起联影最难复制的壁垒。

十一 |          另外，也是我刚提到的联影集团化布局，我们是行业里唯一一家构建了覆盖底层芯片、全栈智能化诊疗装备和可穿戴设备，统一数据与知识平台，多模态医疗大模型及智能体、全栈创新体系的医疗科技企业。这为我们系统化构建AI能力，打下了坚实的基座。         迄今，在全球范围，我们已经拥有一万六千多家合作伙伴，与国内外一大批顶尖研究型医院建立了深度协同的战略合作伙伴关系，开展跨科室、跨学科的，覆盖筛查、诊断、治疗、康复和健康管理等多个核心医疗场景的深度合作，并积累高质量的医疗数据。这些数据端、场景端的共享与共创，将加速推动我们愿景的落地实现。

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