Microsoft continues to deepen its work in healthcare AI. The tech giant is now collaborating with academic medical systems Mass General Brigham and the University of Wisconsin-Madison to advance AI in medical imaging.

微软继续深化其在医疗保健人工智能方面的工作。这家科技巨头目前正与学术医疗系统公司（academic medical systems Mass General Brigham）和威斯康星大学麦迪逊分校（University of Wisconsin Madison）合作，推动人工智能在医学成像领域的发展。

The aim is to develop, test and validate AI algorithms and applications that improve the accuracy and consistency of medical image analysis and enable healthcare organizations to build medical imaging AI copilots, the organizations said.

这些组织表示，目的是开发、测试和验证AI算法和应用程序，以提高医学图像分析的准确性和一致性，并使医疗保健组织能够构建医学成像AI副产品。

Researchers and clinicians at Mass General Brigham, UW School of Medicine and Public Health, and UW Health will work with the tech company to advance state-of-the-art multimodal foundation models. Microsoft and the partner health systems will research how these algorithms and applications can help radiologists and clinicians interpret medical images and assist with report generation, disease classification and structured data analysis, according to the organizations..

麻省理工大学布莱根将军学院、华盛顿大学医学与公共卫生学院和华盛顿大学卫生学院的研究人员和临床医生将与这家科技公司合作，推进最先进的多模式基金会模型。微软和合作伙伴健康系统将研究这些算法和应用程序如何帮助放射科医生和临床医生解释医学图像，并协助报告生成、疾病分类和结构化数据分析。。

The AI models will be built on top of the Microsoft Azure AI platform and integrated into clinical workflows via Nuance’s PowerScribe radiology reporting platform, which is used by a majority of U.S. radiologists, and Nuance’s Precision Imaging Network.

人工智能模型将建立在Microsoft Azure人工智能平台之上，并通过大多数美国放射科医生使用的Nuance PowerScribe放射报告平台和Nuance的Precision Imaging Network集成到临床工作流程中。

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HIMSS24: Microsoft, 16 health systems to operationalize AI under new partner network

HIMSS24：微软，16个卫生系统将在新合作伙伴网络下实施人工智能

The collaboration includes UW School of Medicine and Public Health along with its partnering health system, UW Health.

该合作包括华盛顿大学医学与公共卫生学院及其合作的卫生系统，华盛顿大学卫生。

Medical imaging plays a critical role in healthcare and medical diagnoses. Health systems spend an estimated $65 billion each year on imaging, according to a JAMA study. Approximately 80% of all hospital and health system visits include at least one imaging exam related to more than 23,000 conditions, Definitive Healthcare data shows..

。美国医学会协会（JAMA）的一项研究表明，卫生系统每年在成像方面的支出估计为650亿美元。权威医疗保健数据显示，大约80%的医院和卫生系统就诊包括至少一次与23000多种疾病相关的影像学检查。。

The healthcare industry is grappling with rising rates of physician burnout and staffing shortages. Many hospitals and health systems are exploring generative AI tools to help reduce workloads, enhance workflow efficiencies and improve the accuracy and consistency of medical image analysis for care delivery, clinical trials recruitment and drug discovery..

医疗保健行业正在努力应对医生职业倦怠率和人员短缺率的上升。许多医院和卫生系统正在探索生成性人工智能工具，以帮助减少工作量，提高工作流程效率，并提高医疗图像分析的准确性和一致性，以提供护理，临床试验招募和药物发现。。

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Nvidia inks与Abridge、GE HealthCare和Microsoft合作，扩大其在医疗保健AI领域的足迹

'Generative AI has transformative potential to overcome traditional barriers in AI product development and to accelerate the impact of these technologies on clinical care. As healthcare leaders, we need to carefully and responsibly develop and evaluate such tools to ensure high-quality care is in no way compromised,' said Keith J.

“生成性人工智能具有变革潜力，可以克服人工智能产品开发中的传统障碍，并加速这些技术对临床护理的影响。作为医疗保健的领导者，我们需要认真负责地开发和评估这些工具，以确保高质量的护理不会受到任何损害。

Dreyer, D.O., Ph.D., chief data science officer and chief imaging officer at Mass General Brigham and leader of the Mass General Brigham AI business, in a statement..

马萨诸塞州布莱根将军首席数据科学官、首席成像官、马萨诸塞州布莱根将军AI业务负责人Dreyer博士在一份声明中表示。。

'Foundation models fine-tuned on Mass General Brigham's vast multimodal longitudinal data assets can enable a shorter development cycle of AI/ML-based software as a medical device and other clinical applications, for example, to automate the segmentation of organs and abnormalities in medical imaging and increase radiologists' efficiency and consistency,' Dreyer said..

Dreyer说：“在大规模Brigham将军庞大的多模式纵向数据资产上进行微调的基础模型可以缩短基于AI/ML的软件作为医疗设备和其他临床应用的开发周期，例如，自动化器官分割和医学成像异常，提高放射科医生的效率和一致性。”。。

Scott Reeder, M.D., Ph.D., chair of the Department of Radiology, University of Wisconsin School of Medicine and Public Health, and radiologist at UW Health, said the collaboration with Microsoft will advance 'development, validation and thoughtful clinical investigation of generative AI in the medical imaging space.'.

威斯康星大学医学与公共卫生学院放射科主任、医学博士斯科特·里德（ScottReeder）表示，与微软的合作将推动“医学成像领域中生成性人工智能的开发、验证和深思熟虑的临床研究”。

'Our focus is to bridge the gap within medical imaging from innovation to patient care in ways that improve outcomes and make innovative care more accessible,' Reeder said.

。

Microsoft also is working with chipmaker Nvidia to advance the use of generative AI, the cloud and accelerated computing to healthcare and life sciences organizations. The two companies announced a collaboration in March to bring together the advanced computing capabilities of Microsoft Azure with Nvidia DGX Cloud and the Nvidia Clara suite of computing platforms, software and services, the companies said..

微软还与芯片制造商Nvidia合作，推动医疗保健和生命科学组织使用生成人工智能、云和加速计算。两家公司于3月宣布合作，将微软Azure的高级计算功能与Nvidia DGX云以及Nvidia Clara计算平台、软件和服务套件结合在一起。。