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照片：Hispanolistic/Getty图片

Google announced it added new generative AI-powered capabilities to its Vertex AI platform for health and life sciences companies to search patient data, including clinical sources like FHIR data and clinical notes, which can be combined with its medical large language model Med-PaLM 2.

谷歌宣布，它为其Vertex AI平台添加了新的生成AI功能，供健康和生命科学公司搜索患者数据，包括FHIR数据和临床记录等临床来源，可与其医疗大型语言模型Med PaLM 2相结合。

Vertex AI is a search engine that allows organizations to build their own generative AI-enabled search engines for customers, and Med-PaLM is a generative AI technology that utilizes Google's LLMs to answer medical questions.

Vertex AI是一种搜索引擎，允许组织为客户构建自己的生成AI搜索引擎，Med-PaLM是一种生成AI技术，利用Google的LLMs回答医疗问题。

The new Vertex AI Search feature can be combined with Med-PaLM 2, allowing providers to find answers to medical questions pertaining directly to a patient's medical records and obtain answers to general medical questions.

新顶点AI搜索功能可以与Med PaLM 2结合使用，允许提供者查找与患者医疗记录直接相关的医疗问题的答案，并获取一般医疗问题的答案。

The capabilities build on Vertex AI's ability to set up conversational search applications and question-answering capabilities.

这些功能建立在Vertex AI建立会话搜索应用程序和问答功能的基础上。

The feature, which will support HIPAA compliance, integrates Google Cloud's Healthcare API, Healthcare Data Engine and Google Health's pilot product Care Studio and is available now for trial by healthcare and life sciences companies.

该功能将支持HIPAA合规性，集成Google Cloud的Healthcare API，Healthcare数据引擎和Google Health的试点产品Care Studio，现在可供医疗保健和生命科学公司试用。

The tech giant says the offering will help to address the growing workforce shortage in the healthcare industry, relieve administrative burden and physician burnout and give customers the ability to retrieve accurate clinical information to make more informed decisions.

该科技巨头表示，该产品将有助于解决医疗保健行业日益严重的劳动力短缺问题，减轻行政负担和医生职业倦怠，并为客户提供检索准确临床信息以做出更明智决策的能力。

'Bringing Google-quality, gen AI search capabilities across an organization's entire ecosystem, including EHRs, has the potential to dramatically improve efficiencies, provide clinical decision support, and increase the quality of care clinicians can give patients,' Burak Gokturk, VP and general manager of Cloud AI and industry solutions for Google Cloud, said in a statement.

Burak Gokturk，副总裁和总经理说：“为Google质量提供gen-AI搜索功能，涵盖整个组织的整个生态系统，包括EHR，有可能显着提高效率，提供临床决策支持，并提高临床医生可以为患者提供的护理质量。Google Cloud的云AI和行业解决方案，在一份声明中说。

'Making Vertex AI Search more useful for healthcare and life science organizations is a priority for us because we know that having the right information and insights at the right time can make all the difference in health.'.

“让Vertex AI搜索对医疗保健和生命科学组织更有用是我们的优先事项，因为我们知道在正确的时间获得正确的信息和见解可以在健康方面产生所有差异。”。

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更大的趋势

Med-PaLM 2 was tested on U.S. Medical Licensing Examination-style questions in March and performed at an 'expert' test-taker level with 85%+ accuracy. The LLM also received a passing score on the MedMCQA dataset, a multiple-choice dataset designed to address real-world medical entrance exam questions. .

Med PaLM 2于3月在美国医疗执照考试风格问题上进行了测试，并在“专家”考生水平上以85%+的准确度进行。LLM还在MedMCQA数据集上获得了及格分数，MedMCQA数据集是一个旨在解决现实世界医学入学考试问题的多项选择数据集。 .

One month later, the tech giant announced it would make Med-PaLM 2 available to select Google Cloud customers for limited testing, to explore use cases and to share feedback.

一个月后，该科技巨头宣布将使Med PaLM 2可用于选择Google Cloud客户进行有限测试，探索用例并分享反馈。

In July, a study performed by Google researchers and published in Nature revealed that Med-PaLM provided long-form answers aligned with the scientific consensus on 92.6% of questions submitted, aligning with clinician-generated answers at 92.9%.

7月，Google研究人员进行的一项研究并发表在Nature上，结果显示Med-PaLM提供了符合科学共识的长格式答案，其中92.6%的问题提交，与临床医生生成的答案一致，为92.9%。

Tags: Google, large language model, provider-facing tool, generative AI

标签：Google，大型语言模型，面向提供商的工具，生成AI

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