A web-based platform for studying the impact of artificial intelligence in video capsule endoscopy.

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Applied Bio Materials Pub Date : 2024-10-01 DOI:10.1177/14604582241296072

Georgios Apostolidis, Antigoni Kakouri, Ioannis Dimaridis, Eleni Vasileiou, Ioannis Gerasimou, Vasileios Charisis, Stelios Hadjidimitriou, Nikolaos Lazaridis, Georgios Germanidis, Leontios Hadjileontiadis

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引用次数: 0

Abstract

Objective: Integrating artificial intelligence (AI) solutions into clinical practice, particularly in the field of video capsule endoscopy (VCE), necessitates the execution of rigorous clinical studies. Methods: 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. Results: 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. Conclusion: This research lays a foundation for future advancements in AI integration within clinical VCE practice.

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基于网络的平台，用于研究人工智能对视频胶囊内窥镜检查的影响。

目的：将人工智能（AI）解决方案融入临床实践，尤其是在视频胶囊内窥镜（VCE）领域，需要进行严格的临床研究。方法：这项工作介绍了一个新颖的软件平台，该平台专为促进在 VCE 中开展多阅读器多病例临床研究而量身定制。该平台以网络应用程序的形式开发，优先考虑远程访问，以适应多中心研究。值得注意的是，该平台对用户界面和用户体验设计元素给予了极大关注，以确保界面无缝且引人入胜。为了评估该平台的可用性，进行了一项试点研究。结果显示结果表明，用户的可用性和接受度都很高，为了解消化科医生对人工智能驱动的 VCE 解决方案的期望和偏好提供了宝贵的见解。结论这项研究为未来将人工智能融入临床 VCE 实践奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Applied Bio Materials Chemistry-Chemistry (all)

CiteScore

9.40

自引率

2.10%

发文量

464