Avatar Medical 推出 Epic EHR 集成，用于实时 3D 手术规划和患者咨询
Avatar Medical Launches Epic EHR Integration for Real-Time 3D Surgical Planning and Patient Consultations
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医学可视化公司 Avatar Medical 宣布，其旗舰软件 Avatar Medical Vision 现在可以从 Epic 的 EHR 内部原生启动。
该集成使主治医师和外科医生只需点击几下，即可从患者的当前临床记录直接转入可交互的、患者特异性的 3D 解剖模型，并自动携带患者上下文，从而消除手动影像检索、凭据登录和重复数据录入。
该软件可实时将标准横断面 CT 和 MRI DICOM 扫描转换为交互式 3D 可视化，无需手动分割或预处理，并以原生分辨率渲染每个体素。
通过 Eonis Vision 进行临床部署——这是一种交钥匙解决方案，将 Avatar Medical Vision 软件与 Barco 的医疗级 Eonis 3D 自动立体显示器（基于 Leia 的 Immersity 平台构建）相结合——在标准门诊咨询室和术前区域提供真正的无需眼镜、无需头戴设备的 3D 可视化。
无需分割的实时渲染
Avatar Medical 的核心技术源自 Institut Curie 和 Institut Pasteur 开展的生物物理成像研究，其差异化之处在于绕过了传统渲染的障碍：
零分割开销：
Avatar Medical Vision 可立即将标准 DICOM CT 和 MRI 扫描序列转换为可交互的、患者特异性的 3D 解剖模型，从而消除以往需要数小时或数天的手动器官勾画和分割步骤。
无需眼镜的 3D 显示交付：
该系统通过 Eonis Vision 企业硬件-软件捆绑包交付——该捆绑包与可视化领导者 Barco 共同开发——将 Avatar 的渲染软件与 Barco 的 Eonis 3D 自动立体医疗显示器配对。这使临床医生和患者无需佩戴头戴设备、护目镜或专用眼镜，即可在检查室中同时体验深度准确的、全息风格的 3D 解剖结构。
全球监管许可：
其底层医疗器械软件平台已在美国获得 FDA 510(k) 许可，并在欧洲获得 CE 认证，目前在国际上 20 多个医院系统中运行。
初始企业部署：UHealth 颅底外科
这一原生 Epic 集成工作流的首次临床部署目前正在 UHealth – University of Miami Health System 进行，由 UHealth 和 Miller School of Medicine 的神经外科教授兼颅底外科主任 Michael Ivan 博士领导。在神经外科和复杂颅底肿瘤学中，空间理解对于知情同意至关重要。该系统使患者能够直观地查看肿瘤边缘、颅神经和血管解剖结构，从而改善术前决策期间的沟通。
最大化企业 PACS 和 EHR 资本
医疗系统在高分辨率 CT/MRI 扫描仪、企业级图像归档与通信系统（PACS）以及 EHR 基础设施上投入了数亿美元。然而，由此产生的数据对消费者而言在很大程度上仍难以理解。将常规 DICOM 切片转换为交互式视觉资产，可扩展现有影像资产的经济和临床回报。
医院 CIO 和 CMIO 通常会拒绝那些迫使临床医生从 EHR 中 Alt-Tab 切出、登录外部门户或重新输入患者 MRN 的单点工具。直接在 Epic 内启动，可确保可视化引擎作为诊疗过程中的环境功能运行，而不是行政上的干扰。
清晰的解剖学理解可直接提升患者的自主性，减轻术前焦虑，并支持站得住脚的知情同意——随着外科实践致力于提升消费者照护体验并减少术后不满，这已成为一个日益重要的运营因素。
“医疗行业数十年来一直在投资帮助临床医生理解患者的技术。我们的使命是帮助患者理解他们自己，”Avatar Medical 首席执行官 Xavier Wartelle 表示。“三维可视化自 20 世纪 80 年代末就已存在，但从未真正进入临床；它太慢、太复杂。现在这种情况改变了：让外科医生只需点击几下，就能直接从病历中调出患者特异性的 3D 视图，这正是最终推动采用的关键。这一刻，3D 正从放射科实验室走向日常照护。”
What You Should Know
Medical visualization company Avatar Medical announced that its flagship software, Avatar Medical Vision, can now be launched natively from within Epic’s EHR.
The integration enables attending physicians and surgeons to transition from a patient’s active clinical record directly into interactive, patient-specific 3D anatomical models in a few clicks, carrying patient context automatically to eliminate manual imaging searches, credential logins, and duplicate data entry.
The software converts standard cross-sectional CT and MRI DICOM scans into interactive 3D visualizations in real time without manual segmentation or preprocessing, rendering every voxel at native resolution.
Deployed clinically via Eonis Vision—a turnkey solution combining Avatar Medical Vision software with Barco’s medical-grade Eonis 3D autostereoscopic display (built on Leia’s Immersity platform)—delivering true glasses-free, headset-free 3D visualization in standard outpatient consultation rooms and preoperative suites.
Real-Time Rendering Without Segmentation
Originating from biophysical imaging research conducted at Institut Curie and Institut Pasteur, Avatar Medical’s core technology differentiates itself by bypassing traditional rendering friction:
Zero Segmentation Overhead:
Avatar Medical Vision converts standard DICOM CT and MRI scan series into interactive, patient-specific 3D anatomical models instantly, eliminating the manual organ-contouring and segmentation steps that previously took hours or days.
Glasses-Free 3D Display Delivery:
Delivered via the Eonis Vision enterprise hardware-software bundle—co-developed with visualization leader Barco—the system pairs Avatar’s rendering software with Barco’s Eonis 3D autostereoscopic medical display. This allows clinicians and patients to experience depth-accurate, holographic-style 3D anatomy simultaneously in the exam room without wearing headsets, goggles, or specialized glasses.
Global Regulatory Clearance:
The underlying medical device software platform is FDA 510(k)-cleared in the United States and CE-marked in Europe, operating across more than 20 hospital systems internationally.
Initial Enterprise Deployment: UHealth Skull Base Surgery
The first clinical deployment of this native Epic-integrated workflow is currently underway at UHealth – University of Miami Health System led by Dr. Michael Ivan, Professor of Neurological Surgery and Director of Skull Base Surgery at UHealth and the Miller School of Medicine. In neurosurgery and complex skull base oncology, spatial understanding is critical for informed consent. The system gives patients an intuitive view of tumor margins, cranial nerves, and vascular anatomy, improving communication during preoperative decision-making.
Maximizing Enterprise PACS and EHR Capital
Health systems invest hundreds of millions in high-resolution CT/MRI scanners, enterprise Picture Archiving and Communication Systems (PACS), and EHR infrastructure. Yet, the resulting data remains largely illegible to the consumer. Converting routine DICOM slices into interactive visual assets extends the economic and clinical return on existing imaging assets.
Hospital CIOs and CMIOs routinely reject point tools that force clinicians to alt-tab out of the EHR, log into external portals, or re-enter patient MRNs. Launching directly within Epic ensures the visualization engine operates as an ambient feature of the encounter rather than an administrative distraction.
Clear anatomical comprehension directly improves patient agency, mitigates preoperative anxiety, and supports defensible informed consent—an increasingly vital operational factor as surgical practices work to enhance the consumer care experience and reduce post-operative dissatisfaction.
“Healthcare has invested for decades in technologies that help clinicians understand patients. Our mission is to help patients understand themselves,” said Xavier Wartelle, CEO of Avatar Medical. “Three-dimensional visualization has existed since the late 1980s but never made it into the clinic; it’s too slow, too complex. That changes now: letting a surgeon pull up a patient-specific 3D view in a couple of clicks, right from the medical record, is what finally unlocks adoption. This is the moment 3D moves from the radiology lab into everyday care.” Reader Interactions