Machine learning-driven inverse design of puncture needles with tailored mechanics.

Background: In minimally invasive surgery, designing puncture needles with customizable structures to achieve personalized puncture performance is a significant challenge. Existing reverse design methods struggle to capture the complex nonlinear behavior of needle-tissue interactions. Methods: This...

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Bibliographic Details

Published in:	Minimally Invasive Therapy & Allied Technologies Vol. 35; no. 1; pp. 18 - 28
Main Authors:	Huang, Yaozong, Zhang, Fan, Zhang, Fanyang, Wu, Xin, Xinye, Yufei
Format:	pictorial research tables/charts Journal Article
Published:	Taylor & Francis Ltd Feb2026
Online Access:	View this record in EBSCOhost