English(EN) Occupancy Network-Guided Autonomous Robotic Partial Nephrectomy

自主机器人手术系统实现肿瘤切除边缘阴性

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-16 04:00

研究人员开发了一种新颖的视觉引导自主手术系统，能够对肾部分切除术进行完整的肿瘤切除。该系统利用条件占用网络，完全在模拟环境中训练，即使在组织被切割和变形时也能推断和跟踪3D解剖结构。在水凝胶模型上的测试中，机器人成功完成了八次自主肿瘤切除，所有切口均达到阴性手术边缘。 AI

影响展示了自主、边缘阴性肿瘤切除的基础，可能推进机器人手术的能力。

排序理由学术论文，详细介绍了新颖的研究系统及其实验结果。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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arXiv cs.CV TIER_1 English(EN) · Ethan Kilmer, Pit Henrich, Jiawei Ge, Paul M. Scheikl, Laura Connolly, Soum D. Lokeshwar, Joseph Chen, Justin D. Opfermann, Kaitlyn Kumar, Lauren Shepard, Ahmed Ghazi, Nirmish Singla, Richard J. Cha, Kevin Cleary, Franziska Mathis-Ullrich, Axel Krieger · 2026-09-16 04:00

基于占用网络引导的机器人辅助肾部分切除术

arXiv:2609.16186v1 Announce Type: cross Abstract: Autonomous soft-tissue cancer surgery has been limited to interventions on organ surfaces, because current systems cannot perceive and adapt to anatomy once it deforms or is cut. We introduce the first vision-guided autonomous sys…