Endoshare让外科医生安全共享手术视频，一键去隐私、统格式、自动合并。
Endoshare: A Publicly Available, Surgeons-Friendly Solution to De-Identify and Manage Surgical Videos
- 开发了面向外科医生的视频管理工具，支持多源视频合并与自动去标识。
- 临床测试显示用户满意度高，平均推荐度达9.2/10，易用性评分超5/7。
- 开源免费，适合教学、研究及医疗质量改进，特别适合需合规共享视频的团队。
基于视频的外科评估与数据科学可推动外科培训、研究与质量提升，但受限于录制格式多样和视频共享的隐私风险。本文开发并公开发布了一款名为Endoshare的外科友好型应用，能合并、标准化并去标识内窥镜视频。开发采用迭代式用户中心设计流程。分析阶段通过4名临床医生与4名计算机科学家参与的内部调研，基于10项可用性启发式，确立早期需求，并构建跨平台、隐私优先的架构。原型测试中，临床医生与计算机科学家的可用性评分分别为4.68±0.40和4.03±0.51（满分5分），最低分（4.00±0.93）源于标签清晰度问题，由此优化了病例选择、视频合并、自动体外移除与文件名伪匿名化界面。测试阶段，10名外科医生完成外部调研，结合启发式与技术接受模型，报告感知有用性（5.07±1.75/7）、易用性（5.15±1.71/7）、启发式可用性（4.38±0.48/5）均较高，强烈推荐意愿达9.20±0.79/10。性能评估显示处理时间随视频时长线性增长，快速模式下始终更快。Endoshare为手术视频管理提供开源解决方案，具备支持培训、研究与质量改进潜力。需进一步合规认证与互操作性验证以确立其可靠性。软件已公开：https://camma-public.github.io/Endoshare
原文摘要 · Abstract (English)
Video-based assessment and surgical data science can advance surgical training, research, and quality improvement, yet adoption remains limited by heterogeneous recording formats and privacy concerns linked to video sharing. This work develops, evaluates, and publicly releases Endoshare, a surgeon-friendly application that merges, standardizes, and de-identifies endoscopic videos. Development followed an iterative, user-centered software life cycle. In the analysis phase, an internal survey of four clinicians and four computer scientists, based on 10 usability heuristics, identified early requirements and guided a cross-platform, privacy-by-design architecture. Prototype testing reported high usability for clinicians (4.68 +/- 0.40 out of 5) and for computer scientists (4.03 +/- 0.51 out of 5), with the lowest score (4.00 +/- 0.93 out of 5) relating to label clarity, prompting interface refinement to streamline case selection, video merging, automated out-of-body removal, and filename pseudonymization. In the testing phase, ten surgeons completed an external survey combining the same heuristics with Technology Acceptance Model constructs, reporting high perceived usefulness (5.07 +/- 1.75 out of 7), ease of use (5.15 +/- 1.71 out of 7), heuristic usability (4.38 +/- 0.48 out of 5), and strong recommendation likelihood (9.20 +/- 0.79 out of 10). A performance assessment across different hardware and configurations showed that processing time increased proportionally with video duration and was consistently lower in fast mode. Endoshare is a publicly available solution to manage surgical videos, with potential to support training, research, and quality improvement. Compliance certification and broader interoperability validation are needed to establish it as a reliable tool for surgical video management. The software is available at https://camma-public.github.io/Endoshare
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