Global EditionArtificial IntelligenceNVIDIA intros 25 new genAI microservices focused on variety of healthcare use casesThe tools can help integrate artificial intelligence into existing applications that can be run from the cloud or on-prem – focused on genomics, imaging, drug discovery and other digital health priorities.By Mike MiliardMarch 21, 202410:26 AM.

全球编辑人工智能环境介绍25种新的genAI微服务，专注于各种医疗保健用例这些工具可以帮助将人工智能集成到现有的应用程序中，这些应用程序可以从云端或prem上运行，专注于基因组学、成像、药物发现和其他数字健康优先事项。作者：MikeMiliardMarch 21202410:26 AM。

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图片来源：三开/盖蒂影业

NVIDIA Healthcare this week announced the availability of 25 new cloud-agnostic microservices to help healthcare developers make use of generative AI in their applications, anywhere and across a wide-variety of specific use cases.

NVIDIA Healthcare本周宣布提供25种新的云不可知微服务，以帮助医疗保健开发人员在其应用程序中、任何地方和各种特定用例中使用生成人工智能。

WHY IT MATTERS

为什么它很重要

The new healthcare microservices include optimized AI models and workflows with  application programming interfaces, designed to serve as building blocks for creating and deploying cloud-native applications.

新的医疗保健微服务包括优化的人工智能模型和带有应用程序编程接口的工作流，旨在作为创建和部署云本地应用程序的构建块。

With capabilities designed for imaging, natural language and speech recognition and digital biology generation, prediction and simulation, NVIDIA says the two-dozen new microservices can help healthcare organizations capitalize generative AI.

NVIDIA表示，这24种新的微服务可以帮助医疗保健组织利用生成性人工智能，这些功能设计用于成像、自然语言和语音识别以及数字生物学生成、预测和模拟。

The goal is to help researchers, app developers and even medical practitioners more easily integrate AI into 'new and existing applications and run them anywhere – from the cloud to on premises,' according to the company.

该公司表示，目标是帮助研究人员、应用程序开发人员甚至医生更轻松地将人工智能集成到“新的和现有的应用程序中，并在任何地方运行它们，从云到现场”。

The suite includes NVIDIA NIM, which offers optimized inference for a growing collection of models across imaging, medtech, drug discovery and digital health – offering new capabilities for healthcare and life sciences innovation around generative biology, chemistry and more.

该套件包括NVIDIA NIM，它为越来越多的成像、医学技术、药物发现和数字健康模型提供了优化推断，为围绕生成生物学、化学等领域的医疗保健和生命科学创新提供了新的能力。

'By leveraging these advanced tools, we are not only enhancing our capabilities in medical imaging and data management but also driving unprecedented acceleration in medical research and patient care outcomes,' said Trent Norris, chief product officer at Flywheel, whose cloud platform is used by academic medical centers and biopharma companies to curate and train medical imaging data..

飞轮公司首席产品官特伦特·诺里斯（TrentNorris）说：“通过利用这些先进的工具，我们不仅增强了我们在医学成像和数据管理方面的能力，而且推动了医学研究和患者护理成果的前所未有的加速。”飞轮公司的云平台被学术医疗中心和生物制药公司用于管理和培训医学成像数据。。

'With generative AI, we have the opportunity to address some of the most pressing needs of the healthcare industry. We can help mitigate widespread staffing shortages and increase access to high-quality care – all while improving outcomes for patients,' added Munjal Shah, cofounder and CEO of Hippocratic AI, which is developing genAI tools, powered by its own large language models, for low-latency inferencing and speech recognition..

“通过生成人工智能，我们有机会解决医疗保健行业最迫切的一些需求。希波克拉底人工智能（Hippocratic AI）的联合创始人兼首席执行官穆尼尔·沙阿（Munjal Shah）补充说，我们可以帮助缓解普遍存在的人员短缺，增加获得高质量护理的机会，同时改善患者的预后。希波克拉底人工智能正在开发genAI工具，该工具由其自身的大型语言模型提供支持，用于低延迟推理和语音识别。。

THE LARGER TREND

更大的趋势

NVIDIA says developers can experiment access the tools at ai.nvidia.com and experiment with them via service providers including Dell, HP Enterprise, Lenovo and Supermicro, and on public cloud platforms including Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure, and on NVIDIA DGX Cloud..

NVIDIA表示，开发人员可以在ai.NVIDIA.com上试用这些工具，并通过包括戴尔（Dell）、惠普企业（HP Enterprise）、联想（Lenovo）和超微（Supermicro）在内的服务提供商，以及在亚马逊网络服务（Amazon Web Services）、谷歌云（Google cloud）、微软Azure和甲骨文云基础设施（Oracle cloud Infrastructure）等公共云平台上，以及在NVIDIA DGX云上试用。。

ON THE RECORD

记录在案

'For the first time in history, we can represent the world of biology and chemistry in a computer, making computer-aided drug discovery possible,' said Kimberly Powell, NVIDIA's VP of healthcare, in a statement. 'By helping healthcare companies easily build and manage AI solutions we're enabling them to harness the full power and potential of generative AI.'.

NVIDIA医疗保健副总裁金伯利·鲍威尔（KimberlyPowell）在一份声明中说，历史上第一次，我们可以用计算机代表生物和化学世界，使计算机辅助药物发现成为可能通过帮助医疗保健公司轻松构建和管理人工智能解决方案，我们使他们能够充分利用生成人工智能的力量和潜力。”。

Mike Miliard is executive editor of Healthcare IT News

Mike Miliard是《医疗保健IT新闻》的执行编辑

Email the writer: mike.miliard@himssmedia.com

给作者发电子邮件：mike.miliard@himssmedia.com

Healthcare IT News is a HIMSS publication.

医疗保健IT新闻是HIMSS出版物。

Topics: Analytics, Artificial Intelligence, Cloud Computing, Imaging, Precision Medicine

主题：分析、人工智能、云计算、成像、精准医学

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NVIDIA Healthcare this week announced the availability of 25 new cloud-agnostic microservices to help healthcare developers make use of generative AI in their applications, anywhere and across a wide-variety of specific use cases.

NVIDIA Healthcare本周宣布提供25种新的云不可知微服务，以帮助医疗保健开发人员在其应用程序中、任何地方和各种特定用例中使用生成人工智能。

WHY IT MATTERS

为什么它很重要

The new healthcare microservices include optimized AI models and workflows with  application programming interfaces, designed to serve as building blocks for creating and deploying cloud-native applications.

新的医疗保健微服务包括优化的人工智能模型和带有应用程序编程接口的工作流，旨在作为创建和部署云本地应用程序的构建块。

With capabilities designed for imaging, natural language and speech recognition and digital biology generation, prediction and simulation, NVIDIA says the two-dozen new microservices can help healthcare organizations capitalize generative AI.

NVIDIA表示，这24种新的微服务可以帮助医疗保健组织利用生成性人工智能，这些功能设计用于成像、自然语言和语音识别以及数字生物学生成、预测和模拟。

The goal is to help researchers, app developers and even medical practitioners more easily integrate AI into 'new and existing applications and run them anywhere – from the cloud to on premises,' according to the company.

该公司表示，目标是帮助研究人员、应用程序开发人员甚至医生更轻松地将人工智能集成到“新的和现有的应用程序中，并在任何地方运行它们，从云到现场”。

The suite includes NVIDIA NIM, which offers optimized inference for a growing collection of models across imaging, medtech, drug discovery and digital health – offering new capabilities for healthcare and life sciences innovation around generative biology, chemistry and more.

该套件包括NVIDIA NIM，它为越来越多的成像、医学技术、药物发现和数字健康模型提供了优化推断，为围绕生成生物学、化学等领域的医疗保健和生命科学创新提供了新的能力。

'By leveraging these advanced tools, we are not only enhancing our capabilities in medical imaging and data management but also driving unprecedented acceleration in medical research and patient care outcomes,' said Trent Norris, chief product officer at Flywheel, whose cloud platform is used by academic medical centers and biopharma companies to curate and train medical imaging data..

飞轮公司首席产品官特伦特·诺里斯（TrentNorris）说：“通过利用这些先进的工具，我们不仅增强了我们在医学成像和数据管理方面的能力，而且推动了医学研究和患者护理成果的前所未有的加速。”飞轮公司的云平台被学术医疗中心和生物制药公司用于管理和培训医学成像数据。。

'With generative AI, we have the opportunity to address some of the most pressing needs of the healthcare industry. We can help mitigate widespread staffing shortages and increase access to high-quality care – all while improving outcomes for patients,' added Munjal Shah, cofounder and CEO of Hippocratic AI, which is developing genAI tools, powered by its own large language models, for low-latency inferencing and speech recognition..

“通过生成人工智能，我们有机会解决医疗保健行业最迫切的一些需求。希波克拉底人工智能（Hippocratic AI）的联合创始人兼首席执行官穆尼尔·沙阿（Munjal Shah）补充说，我们可以帮助缓解普遍存在的人员短缺，增加获得高质量护理的机会，同时改善患者的预后。希波克拉底人工智能正在开发genAI工具，该工具由其自身的大型语言模型提供支持，用于低延迟推理和语音识别。。

THE LARGER TREND

更大的趋势

NVIDIA says developers can experiment access the tools at ai.nvidia.com and experiment with them via service providers including Dell, HP Enterprise, Lenovo and Supermicro, and on public cloud platforms including Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure, and on NVIDIA DGX Cloud..

NVIDIA表示，开发人员可以在ai.NVIDIA.com上试用这些工具，并通过包括戴尔（Dell）、惠普企业（HP Enterprise）、联想（Lenovo）和超微（Supermicro）在内的服务提供商，以及在亚马逊网络服务（Amazon Web Services）、谷歌云（Google cloud）、微软Azure和甲骨文云基础设施（Oracle cloud Infrastructure）等公共云平台上，以及在NVIDIA DGX云上试用。。

ON THE RECORD

记录在案

'For the first time in history, we can represent the world of biology and chemistry in a computer, making computer-aided drug discovery possible,' said Kimberly Powell, NVIDIA's VP of healthcare, in a statement. 'By helping healthcare companies easily build and manage AI solutions we're enabling them to harness the full power and potential of generative AI.'.

NVIDIA医疗保健副总裁金伯利·鲍威尔（KimberlyPowell）在一份声明中说，历史上第一次，我们可以用计算机代表生物和化学世界，使计算机辅助药物发现成为可能通过帮助医疗保健公司轻松构建和管理人工智能解决方案，我们使他们能够充分利用生成人工智能的力量和潜力。”。

Mike Miliard is executive editor of Healthcare IT News

Mike Miliard是《医疗保健IT新闻》的执行编辑

Email the writer: mike.miliard@himssmedia.com

给作者发电子邮件：mike.miliard@himssmedia.com

Healthcare IT News is a HIMSS publication.

医疗保健IT新闻是HIMSS出版物。