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）。慢性阻塞性肺病可能与不适、并发症和病假有关，影响可接受性，并对欧洲医院的能力构成沉重负担。结肠胶囊内窥镜（CCE）是一项新技术，有可能取代50 ？占所有oc的65%。CCE是患者的首选，并发症发生率低，可在院外进行。CCE对患者和医院都具有巨大的潜力。然而，CCE的诊断过程需要由训练有素的人员进行耗时的手动读取，而且费用昂贵且容易出现人为错误。CCE要成为OC的可行替代方案，就需要解决这些挑战。因此，我们的目标是创建一个完整的、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，为患者、医疗保健系统和社会带来好处。我们已经完成了几种用于CCE诊断的AI算法（AIA）的开发，并将在1 ？2年。AICE概念将侧重于：1)完成剩余AIAs的开发；2)对所有AIAs进行外部验证；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解决方案融入临床实践。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，并将包括在伦理、沟通和患者参与领域的广泛倡议。为了确保正确的能力，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.