Nvidia also revealed new AI chips at the ongoing GTC conference. Image credit: Shutterstock / Hepha1st0s.

Nvidia还在正在进行的GTC会议上展示了新的人工智能芯片。图片来源：Shutterstock / Hepha1st0s。

NVIDIA and GE HealthCare have entered a new collaboration to develop autonomous diagnostic imaging tools, initially focusing on X-ray and ultrasound technology.

英伟达和GE医疗展开了一项新的合作，旨在开发自主诊断成像工具，最初将专注于X射线和超声波技术。

The partnership was announced at Nvidia’s GTC 2025 conference in San Jose, California, US.

该合作伙伴关系是在美国加利福尼亚州圣何塞举行的Nvidia GTC 2025大会上宣布的。

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Artificial Intelligence in Healthcare: AI-Assisted Medical Imaging

医疗保健领域的人工智能：AI辅助的医学影像

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GE HealthCare will use the tech company’s computing platforms to develop AI-enabled X-ray and ultrasound systems, joining a wider trend in the healthcare industry that is seeing algorithms increasingly implemented into radiology workflows.

GE HealthCare将使用这家技术公司的计算平台来开发支持人工智能的X射线和超声系统，加入到医疗保健行业更广泛的潮流中，这一潮流正见证着算法越来越多地被应用到放射工作流程中。

Nvidia’s computing frameworks Isaac Healthcare and Jetson are slated to be utilised in the X-ray system creation. Isaac is used to help build AI robots, whereas Jetson is designed to accelerate machine learning (ML) applications. The computing platforms will help automate workflows such as patient placement, image scanning, and quality checking..

Nvidia的计算框架Isaac Healthcare和Jetson将被用于X射线系统的创建。Isaac用于帮助构建AI机器人，而Jetson旨在加速机器学习（ML）应用程序。这些计算平台将有助于自动化工作流程，例如患者定位、图像扫描和质量检查。

The two companies hope that the technology that arises from the collaboration will expand access to care to X-ray and ultrasound – two of the most used diagnostic imaging approaches. The diagnostics imaging market was estimated to be worth $37.2bn in 2024 and is forecast to grow to nearly $55bn by 2033, according to analysis by GlobalData..

这两家公司希望，从合作中产生的技术将扩大对X射线和超声波这两种最常用的诊断成像方法的医疗覆盖。根据GlobalData的分析，诊断成像市场在2024年估计价值372亿美元，并预计到2033年将增长至近550亿美元。

While the deployment of AI into diagnostic imaging workflows is nothing new, autonomous systems have been harder to create. Nvidia says its software can provide simulation options for medical sensors, helping digital twin access to medical environments. Isaac for Healthcare allows for multi-scale simulation ranging from microscopic structures and surgery suites to full hospital facilities..

虽然将人工智能部署到诊断成像工作流程中并不新鲜，但自主系统的创建一直较为困难。Nvidia表示其软件可以为医疗传感器提供模拟选项，帮助数字孪生接入医疗环境。Isaac for Healthcare支持从微观结构、手术室到完整医院设施的多尺度模拟。

GE HealthCare stated that it plans to automate repetitive tasks performed by a technologist in the X-ray patient exam room. For ultrasound, the tech could streamline workflow and reduce demanding physical strain resulting from repetitive motions.

GE HealthCare 表示，它计划将自动执行技术人员在 X 射线检查室中执行的重复性任务。对于超声波，该技术可以简化工作流程，减轻因重复动作而产生的苛刻体力负担。

The latest venture between the two companies follows a

两家公司最新的合作如下

partnership last year

去年的伙伴关系

that led to the development of a research model called SonoSAMTrack. The platform helps segment anatomies, lesions, and other essential areas in ultrasound images.

这导致了名为SonoSAMTrack的研究模型的开发。该平台有助于分割解剖结构、病灶和超声图像中的其他重要区域。

Nvidia continues to strengthen its presence in the life sciences industry. Earlier this year, it revealed a

Nvidia继续加强其在生命科学领域的影响力。今年早些时候，它透露了

trio of new partnerships

三个新的合作伙伴关系

that focused on applications including genomics and clinical trial services. The tech company has more than 3,500 healthcare members in its Inception programme, a free framework offered by Nvidia to nurture startups and support co-marketing opportunities.

其中包括基因组学和临床试验服务等应用。这家技术公司有超过3500名医疗成员参与其Inception计划，这是Nvidia提供的一项免费框架，旨在培育初创企业并支持联合营销机会。

However, Nvidia stock has taken a recent hit due to competition from China and concerns about an AI bubble. A keynote by CEO Jensen Huang on 18 March at the GTC conference, which revealed the company’s most powerful AI chips to date, failed to change the direction of Nvidia’s falling share price.

然而，由于来自中国的竞争以及对人工智能泡沫的担忧，英伟达股票最近遭受了打击。首席执行官黄仁勋于3月18日在GTC会议上发表的主题演讲透露了公司迄今为止最强大的人工智能芯片，但未能扭转英伟达股价下跌的趋势。

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