Robust prediction of tool-tissue interaction force using ISSA-optimized BP neural networks in robotic surgery
Abstract Background A persistent problem with robot-assisted minimally invasive surgery is soft tissue damage caused by the exertion of excessive force due to the surgeon’s lack of direct access to the surgical site. A solution to predict clamp force accurately is needed to enhance surgical safety a...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BMC
2025-08-01
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| Serie: | BMC Surgery |
| Soggetti: | |
| Accesso online: | https://doi.org/10.1186/s12893-025-03121-2 |
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