MAIA平台连接医工研发，推动医疗AI落地应用。
MAIA: A Collaborative Medical AI Platform for Integrated Healthcare Innovation
- 基于Kubernetes构建模块化协作环境，支持全流程AI开发
- 已在多所医院和高校部署，实现临床真实场景应用
- 强调可复现性与用户设计，适合跨学科医疗AI团队
将人工智能（AI）融入临床工作流需要强大的协作平台，以弥合技术创新与实际医疗应用之间的差距。本文介绍MAIA（Medical Artificial Intelligence Assistant），一个开源平台，旨在促进临床医生、研究人员与AI开发者之间的跨学科协作。基于Kubernetes构建，MAIA提供模块化、可扩展的环境，集成数据管理、模型开发、标注、部署及临床反馈工具。关键功能包括项目隔离、CI/CD自动化、与高性能计算基础设施及临床工作流的集成。平台已在医学影像AI领域实现真实应用场景，部署于学术与临床环境。通过促进协作与互操作性，MAIA致力于加速AI研究成果向有影响力的临床解决方案转化，同时提升可复现性、透明度与以用户为中心的设计。我们展示了在斯德哥尔摩皇家理工学院与卡罗林斯卡大学医院的应用案例。
原文摘要 · Abstract (English)
The integration of Artificial Intelligence (AI) into clinical workflows requires robust collaborative platforms that are able to bridge the gap between technical innovation and practical healthcare applications. This paper introduces MAIA (Medical Artificial Intelligence Assistant), an open-source platform designed to facilitate interdisciplinary collaboration among clinicians, researchers, and AI developers. Built on Kubernetes, MAIA offers a modular, scalable environment with integrated tools for data management, model development, annotation, deployment, and clinical feedback. Key features include project isolation, CI/CD automation, integration with high-computing infrastructures and in clinical workflows. MAIA supports real-world use cases in medical imaging AI, with deployments in both academic and clinical environments. By promoting collaborations and interoperability, MAIA aims to accelerate the translation of AI research into impactful clinical solutions while promoting reproducibility, transparency, and user-centered design. We showcase the use of MAIA with different projects, both at KTH Royal Institute of Technology and Karolinska University Hospital.
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