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

人工智能（AI）的诊断能力接近临床专家，将彻底改变医疗保健。特别是在癌症筛查方面，人工智能可以帮助患者做出更明智的决定，减少医疗错误。然而，这需要大型数据集，而这些数据集的收集面临着严重的实践、道德和法律障碍。这些障碍可以通过群体学习（SL）来克服，在这种学习中，合作伙伴在不共享任何数据的情况下共同训练人工智能模型。然而，SL技术的使用受到严重限制，因为没有研究在真正的跨国设置中实施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，政策制定者目前不知道SL的更广泛影响。ODELIA将解决并解决这些问题：ODELIA将为SL构建第一个开源软件框架，为人工智能解决方案的简化开发提供装配线。作为未来基于sl的人工智能系统的蓝图，ODELIA合作伙伴作为一个群体合作开发第一个临床有用的人工智能算法，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以往的所有研究，ODELIA的人工智能模型将达到专家级别的乳腺癌筛查性能。因此，ODELIA不仅将提供有用的医疗应用，而且将在加速开发、提高性能和强大的可推广性方面证明SL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扩展到众多医疗应用。因此，将为欧洲的患者、医疗保健提供者和公民提供数字基础设施，使其能够在不损害数据安全和数据隐私的情况下开发专家级大数据人工智能工具