The widespread use of minimally invasive surgery generates vast amounts of potentially useful data in the form of surgical video. However, raw video footage is often unstructured and unlabeled, thereby limiting its use. We developed a novel computer-vision algorithm for automated identification and labeling of surgical steps during robotic-assisted radical prostatectomy (RARP).

中文翻译：

---

使用人工智能自动识别机器人辅助根治性前列腺切除术的关键步骤。

微创手术的广泛使用以手术视频的形式产生了大量潜在有用的数据。然而，原始视频片段通常是非结构化且无标签的，从而限制了其使用。我们开发了一种新颖的计算机视觉算法，用于在机器人辅助根治性前列腺切除术（RARP）期间自动识别和标记手术步骤。