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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Hlavní autoři:	Yong-Li Yan, Teng Ren, Li Ding, Tiansheng Sun, Shandeng Huang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2025-08-01
Edice:	BMC Surgery
Témata:	Surgical interaction force estimation BP neural network Sparrow search algorithm Circle chaotic mapping Golden sine strategy Robot-assisted surgery
On-line přístup:	https://doi.org/10.1186/s12893-025-03121-2
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