What You Should Know:

您应该知道：

– Gesund.ai, the clinical AI validation company, today announced the open sourcing of a comprehensive library of evaluation methodologies and frameworks to help developers and users address AI performance and potential bias across patient cohorts for the FDA-regulated AI solutions on the market.

–临床人工智能验证公司Gesund.ai今天宣布，将开放一个全面的评估方法和框架库，以帮助开发人员和用户解决市场上FDA监管的人工智能解决方案在患者群体中的人工智能表现和潜在偏见。

– As part of its mission to standardize AI validation, Gesund.ai is also announcing it has joined the Coalition for Health AI, after partnering with public and private industry groups like CancerX, the NIST AI Safety Institute Consortium, VALID AI and the American Heart Association.

–作为其标准化人工智能验证任务的一部分，Gesund.AI还宣布，在与CancerX、NIST人工智能安全研究所财团、VALID人工智能和美国心脏协会等公共和私营行业团体合作后，已加入健康人工智能联盟。

Gesund: Pioneering AI Assurance in Healthcare with Open-Source Validation Tools

Gesund：使用开源验证工具在医疗保健领域开创人工智能保证

Gesund is the world’s first AI assurance platform dedicated to advancing clinical-grade AI solutions for healthcare. It offers industry-leading, independent third-party validation for medical AI used by pharmaceutical and medical device companies. Supported by leading investors such as Merck, McKesson, Northpond, and 500, Gesund orchestrates the entire AI/ML lifecycle through a no-code environment, seamlessly integrating models, data, and experts.

Gesund是世界上第一个人工智能保证平台，致力于推进医疗保健的临床级人工智能解决方案。它为制药和医疗器械公司使用的医疗AI提供业界领先的独立第三方验证。Gesund在默克（Merck）、麦凯森（McKesson）、北塘（Northpond）和500等领先投资者的支持下，通过无代码环境协调整个AI/ML生命周期，无缝集成模型、数据和专家。

Its AI-native platform can be deployed on-premises, in air-gapped environments, or in the cloud, enabling rapid collaboration with healthcare providers and board-certified physicians. .

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– Navigating Bias and Regulatory Evolution: Screening clinical AI for bias is uniquely challenging due to the evolving regulatory landscape. By 2025, healthcare providers and payors—not just AI developers—will share the responsibility of preventing discrimination caused by clinical algorithms.

–导航偏见和监管演变：由于监管格局的演变，筛查临床AI的偏见具有独特的挑战性。到2025年，医疗保健提供者和付款人（不仅仅是人工智能开发者）将共同承担防止临床算法造成歧视的责任。

– Bridging Gaps with Gesund Validate: Although the FDA provides guidelines for clinical AI performance, no universal platform exists for physicians or developers to conduct independent assessments. Gesund has spent years developing a comprehensive clinical AI validation suite used across diverse healthcare settings.

–与Gesund Validate弥合差距：尽管FDA提供了临床AI性能指南，但医生或开发人员不存在进行独立评估的通用平台。Gesund花了数年时间开发了一个全面的临床AI验证套件，用于各种医疗保健环境。

Now, it has launched Gesund Validate, an open-source tool accessible to healthcare, AI, and industry professionals at this LINK. .

现在，它已经推出了Gesund Validate，这是一个开源工具，可供医疗保健、人工智能和行业专业人员在此链接访问。。

– Key Features of Gesund Validate:

– Coverage Across Clinical AI Domains: Designed for AI solutions like radiology, it supports unstructured multimodal data using “expert-in-the-loop” workflows and diverse computer vision tasks.

–覆盖临床人工智能领域：专为放射学等人工智能解决方案而设计，它支持使用“专家在环”工作流和各种计算机视觉任务的非结构化多模式数据。

– Bias Detection and Mitigation: Identifies performance disparities across patient demographics (e.g., age, gender, race) using integrated fairness and bias mitigation frameworks.

–偏见检测和缓解：使用综合公平和偏见缓解框架，确定患者人口统计学（例如年龄，性别，种族）之间的表现差异。

– FDA-Aligned and Customizable: While aligned with FDA standards, it can be adapted to specific hospital needs and evolving regulations.

–与FDA保持一致并可定制：虽然与FDA标准保持一致，但它可以适应特定的医院需求和不断发展的法规。

Gesund’s open-source initiative follows a period of rapid expansion, marked by recognition in the **CB Insights AI 100** and new partnerships with public and private clinical AI organizations. It has also expanded its real-world data partnerships, now collaborating with the Institute for Better Health (IBH) at Trillium Health Partners (THP), a leading health system in Toronto.

Gesund的开源计划经历了一段快速扩张的时期，其标志是在**CB Insights AI 100**中获得认可，并与公共和私人临床AI组织建立了新的合作伙伴关系。它还扩大了现实世界的数据合作伙伴关系，目前正在与多伦多领先的卫生系统Trillium Health Partners（THP）的更好健康研究所（IBH）合作。

This expansion reinforces Gesund’s commitment to providing robust and transparent AI validation for safer healthcare outcomes..

这一扩展加强了Gesund的承诺，即为更安全的医疗保健结果提供强大而透明的人工智能验证。。

“One goal of open sourcing this library is to rally communities together to update, improve and expand standards and methodologies as the field evolves,” said Dr. Enes Hosgor, CEO and founder of Gesund.ai. “No one company can or should do it alone.”

Gesund.ai首席执行官兼创始人埃内斯·霍斯格博士表示：“开放源码图书馆的一个目标是团结社区，随着领域的发展，更新、改进和扩展标准和方法。没有任何一家公司能够或应该独自做到这一点。”