AI Supported Picture Analysis In Large Bowel Camera Capsule Endoscopy

每年有数百万欧洲人接受光学结肠镜检查（OC）。OC可能与不适、并发症和病假有关，影响可接受性，并对欧洲医院能力构成沉重负担。胶囊式结肠内窥镜（CCE）是一项新技术，有可能取代50？65%的业主立案法团。CCE是患者的首选，并发症发生率较低，可以在医院外进行。CCE对患者和医院都有很大的潜力。然而，CCE的诊断过程包括由受过训练的人员完成的耗时的手动阅读，并且是昂贵的并且易于人为错误。为了使CCE成为OC的可行替代方案，需要解决这些挑战。因此，我们的目标是创建一个完整且经过验证的人工智能辅助途径，以改善CCE诊断，使该技术在临床上可行，造福患者，医疗保健系统和社会。我们已经完成了几个用于CCE诊断的AI算法（AIA）的开发，更多的将在1？2年AICE概念将侧重于：1）完成剩余AIA的开发，2）所有AIA的外部验证，3）创建用于数据处理，存储和传输的临床支持系统，4）开发考虑质量，效率，患者偏好，道德和经济的诊断途径5）通过指南和升级调整促进AICE解决方案与临床实践的整合。为了实现这些目标，AICE将使用来自全国临床研究的前所未有的大量和多样化的现有患者数据，并将包括伦理，沟通和患者参与领域的广泛举措。为了确保具备适当的能力，AICE汇集了临床研究人员、流行病学家、数据科学家、数字健康专家、健康经济学家、伦理研究人员、中小企业、通信专家和监管事务专家。

Millions of Europeans undergo optical colonoscopy (OC) every year. OC may be associated with discomfort, complications and sick days, which affect acceptability, and constitutes a heavy burden on European hospital capacities. Colon capsule endoscopy (CCE) is a new technology, which has the potential to replace 50 ? 65 % of all OCs. CCE is preferred by patients, has a lower complication rate and can be performed out of hospital. CCE holds great potential for both patients and hospitals. However, the diagnostic process of CCE includes a time-consuming manual reading done by trained personnel and is expensive and prone to human error. For CCE to be a viable alternative to OC these challenges need to be addressed. Thus, our goal is to create a complete and validated AI-assisted pathway that improves CCE diagnostics making the technology clinically viable for the good of patients, health care systems and society. We have already completed development of several AI algorithms (AIA) for CCE diagnostics, and more will be completed within 1 ?2 years. The AICE concept will focus on: 1) completing development of the remaining AIAs, 2) external validation the all AIAs, 3) creating a clinical support system for data handling, storage and transmission, 4) developing a diagnostic pathway that considers quality, efficiency, patient preferences, ethics and economy 5) promotes the integration of AICE solutions into clinical practice via guidelines and upscaling adjustments. To achieve these goals, AICE will use an unprecedented large and diverse collection of existing patient data from nationwide clinical studies, and will include extensive initiatives in the fields of ethics, communication and patient engagement. To ensure the right competences are present, AICE brings together clinical researchers, epidemiologists, data scientists, digital health experts, health economists, ethics researchers, SMEs, communication experts and experts in regulatory affairs.