ODELIA - An Open Consortium for Decentralized Medical Artificial Intelligence

ODELIA - 去中心化医疗人工智能开放联盟

• 批准号: 10069847
• 金额: $ 89.73万
• 依托单位: UNIVERSITY OF CAMBRIDGE
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10069847
• 关键词: ODELIA; Open; Consortium; Decentralized; Medical

ArtifArtificial Intelligence (AI) will revolutionize healthcare as its diagnostic performance approaches that of clinical experts. In particular, in cancerscreening, AI helps patientsto make better-informed decisions and reduce medical error. However, thisrequireslarge datasets whose collection faces severe practical, ethical and legal obstacles. These obstacles can be overcome with swarm learning (SL) where partners jointly train AI models without sharing any data. Yet, access to SL technology is seriously limited because no studies have implemented SL in a true multinational setup, no practically usable implementation of SL is available, researchers & healthcare providers have no experience with setting up SL networks and policymakers are currently unaware of the broader implications of SL. ODELIA will address & solve these issues: ODELIA will build the first open-source software framework for SL, providing an assembly line for the streamlined development of AI solutions. To serve as a blueprint for future SL-based AI systems, ODELIA partners collaborate as a swarm to develop the first clinically useful AI algorithm for the detection of breast cancer in magnetic resonance imaging (MRI). The size of ODELIA's distributed database will exceed all previous studies and ODELIA's AI models will reach expert-level performance for breast cancer screening. Thereby, ODELIA will not only deliver a useful medical application, but prove the clinical benefit of SL in terms of accelerated development, increased performance and robust generalizability to ultimately save thousands of lives of European patients. ODELIA's success will push partners to serve as nuclei for the exponential growth of the SL network and extend SL to a multitude of medical applications. Thus, patients, healthcare providers and citizens in Europe will be provided with a digital infrastructure that enables development of expert-level AI tools on big data without compromising data safety and data privacy

Artif人工智能（AI）将彻底改变医疗保健，因为其诊断性能接近临床专家。特别是在癌症筛查中，人工智能可以帮助患者做出更明智的决策并减少医疗错误。然而，这需要大量数据集，其收集面临严重的实践、道德和法律障碍。这些障碍可以通过群体学习（SL）来克服，合作伙伴可以在不共享任何数据的情况下共同训练人工智能模型。然而，获得 SL 技术的机会受到严重限制，因为没有研究在真正的跨国机构中实施 SL，没有实际可用的 SL 实施，研究人员和医疗保健提供者没有建立 SL 网络的经验，并且政策制定者目前不知道更广泛的应用SL 的影响。 ODELIA 将解决这些问题：ODELIA 将为 SL 构建第一个开源软件框架，为 AI 解决方案的简化开发提供装配线。为了作为未来基于 SL 的 AI 系统的蓝图，ODELIA 合作伙伴集体合作开发第一个临床有用的 AI 算法，用于在磁共振成像 (MRI) 中检测乳腺癌。 ODELIA分布式数据库的规模将超过之前所有的研究，ODELIA的AI模型将达到乳腺癌筛查的专家级性能。因此，ODELIA 不仅将提供有用的医疗应用，还将证明 SL 在加速开发、提高性能和强大的普遍性方面的临床益处，最终挽救数千名欧洲患者的生命。 ODELIA 的成功将推动合作伙伴成为 SL 网络指数增长的核心，并将 SL 扩展到多种医疗应用。因此，欧洲的患者、医疗保健提供者和公民将获得数字基础设施，能够在不损害数据安全和数据隐私的情况下开发基于大数据的专家级人工智能工具