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...
| Publicado en: | Minimally Invasive Therapy & Allied Technologies Vol. 35; no. 1; pp. 18 - 28 |
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| Autores principales: | , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2026
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| Acceso en línea: | Ver este registro en EBSCOhost |