An Artificially Intelligent Diagnostic Assistant for gastric inflammation (AIDA)

大多数胃癌（GC）病例在晚期被发现，此时患者的中位预期寿命约为一年。在症状前阶段诊断有发展GC风险的人，通常是慢性胃炎，可以显着改善前景。人工智能（AI）可以帮助临床医生通过自动化大部分治疗和分析来理解他们自己的数据，这需要手动工作和多年的经验。但它可以做得更多：它可以将来自不同来源的可用数据汇集到一个巨大的数据湖中，并将这些数据相互关联，以得出胃癌的“风险评分”，并揭示其演变的机制。阿依达的目标就是这样。它帮助研究人员了解触发胃癌发生的机制，帮助临床医生在尽可能早的阶段诊断癌前炎症，为治疗和随访提供个性化的治疗策略，并为监测患者健康状况提供个性化建议，从而有助于胃癌预防。这使阿依达成为欧洲“在快速变化的社会中保持健康”的议程。Aida联合了欧洲一些胃炎、胃癌领域的领先权威机构、领先的人工智能和机器学习专家、数据治理和隐私专家、公共管理代表和患者倡导者。阿依达也与该行业有着密切的联系。项目结束后，研究结果将继续存在于一个基础上，作为慢性胃炎和一般GC的跨国焦点。我们希望Aida坚实、包容的设计原则、其社会意义和耐用性将围绕慢性胃炎、其理解和治疗产生一个充满活力的生态系统。我们希望它能激励其他健康领域的数据合作者--针对其他慢性炎症、其他形式的癌症或其他疾病。

Most cases of gastric cancer (GC) are detected at a late stage, when patients have a median life expectancy of about a year. Diagnosing people at risk of developing GC at the pre-symptomatic stage, typically chronic gastric inflammation, could significantly improve the outlook. Artificial intelligence (AI) can help clinicians make sense of their own data by automating much of the treatment and analysis, which require manual work and years of experience. But it can do more: it can bring together available data from various sources into a vast data lake and cross-correlate the data to derive a ‘risk score’ for gastric cancer and shed light on the mechanisms of its evolution. Aida aims to do just that. It helps researchers understand the mechanisms that trigger gastric oncogenesis, helps clinicians diagnose precancerous inflammation at the earliest possible stage, suggests personalised therapeutic strategies for treatment and follow-up, and makes personalised recommendations for monitoring patient health status, thus contributing to gastric cancer prevention. This places Aida squarely on Europe’s agenda of ‘Staying healthy in a rapidly changing society’. Aida unites some of Europe’s leading authorities in the field of gastric inflammation, gastric cancer, leading AI and machine learning experts, experts on data governance and privacy, representatives of the public administration and patient advocates. Aida also has strong ties with the industry. After the project, the results will live on in a foundation that acts as a transnational focal point for chronic gastric inflammation — and GC in general. We hope that the solid, inclusive design principles of Aida, its societal relevance and its durability will spawn a vigorous ecosystem around chronic gastric inflammation, its understanding and its treatment. And we hope that it will inspire other data collaboratives in health — for other chronic inflammations, other forms of cancer or other ailments altogether.