Department of Electrical and Computer Engineering, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Division of Gastroenterology and Hepatology, First Department of Internal Medicine, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece.
Health Informatics J. 2024 Oct-Dec;30(4):14604582241296072. doi: 10.1177/14604582241296072.
Integrating artificial intelligence (AI) solutions into clinical practice, particularly in the field of video capsule endoscopy (VCE), necessitates the execution of rigorous clinical studies. This work introduces a novel software platform tailored to facilitate the conduct of multi-reader multi-case clinical studies in VCE. The platform, developed as a web application, prioritizes remote accessibility to accommodate multi-center studies. Notably, considerable attention was devoted to user interface and user experience design elements to ensure a seamless and engaging interface. To evaluate the usability of the platform, a pilot study is conducted. The results indicate a high level of usability and acceptance among users, providing valuable insights into the expectations and preferences of gastroenterologists navigating AI-driven VCE solutions. This research lays a foundation for future advancements in AI integration within clinical VCE practice.
将人工智能（AI）解决方案整合到临床实践中，特别是在视频胶囊内镜（VCE）领域，需要进行严格的临床研究。这项工作引入了一个新的软件平台，旨在方便 VCE 中多读者多案例临床研究的开展。该平台作为一个网络应用程序开发，优先考虑远程访问以适应多中心研究。值得注意的是，我们非常注重用户界面和用户体验设计元素，以确保无缝和吸引人的界面。为了评估该平台的可用性，我们进行了一项试点研究。结果表明，用户对该平台的可用性和接受程度很高，这为研究人员了解使用人工智能驱动的 VCE 解决方案的胃肠病学家的期望和偏好提供了有价值的见解。这项研究为未来在临床 VCE 实践中整合人工智能奠定了基础。
