浙江大学的Sliputure采用预先绑好的活结，以精确的力释放，提高了机器人手术的准确性和安全性。 Zhejiang University's Sliputure uses a pre-tied slipknot that releases at precise force, improving robotic surgery accuracy and safety.

浙江大学的一个团队开发了Sliputure，这是一种预先绑好的活结缝线，通过精确释放力为机器人提供触觉反馈，从而提醒机器人停止拉扯。 A team from Zhejiang University has developed Sliputure, a pre-tied slipknot suture that provides tactile feedback in robotic surgery by releasing at a precise force, signaling the robot to stop pulling. 这种简单的机械解决办法确保了最佳结结结紧张度,精确度达到95.4%,防止组织损伤或泄漏。 This simple mechanical solution ensures optimal knot tension with 95.4% accuracy, preventing tissue damage or leaks. 在动物模型测试中,它改善了愈合和血液流动,并使新外科医生的精确度提高了121%。 Tested in animal models, it improved healing and blood flow, and boosted novice surgeons’ accuracy by 121%. 该系统不需要电源、传感器或算法,使其成本低廉、可消毒且适合远程环境。 The system requires no power, sensors, or algorithms, making it low-cost, sterilizable, and suitable for remote settings. 可扩缩的生产线能够大规模制造现成使用的缝合线。 A scalable production line enables mass manufacturing of ready-to-use sutures. 该创新在《自然》上发表,为复杂的传感器系统提供了可靠、无硬件的替代方法。 The innovation, published in Nature, offers a reliable, hardware-free alternative to complex sensor-based systems.