Robust prediction of tool-tissue interaction force using ISSA-optimized BP neural networks in robotic surgery

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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Bibliographic Details
Main Authors: Yong-Li Yan, Teng Ren, Li Ding, Tiansheng Sun, Shandeng Huang
Format: Article
Language:English
Published: BMC 2025-08-01
Series:BMC Surgery
Subjects:
Surgical interaction force estimation
BP neural network
Sparrow search algorithm
Circle chaotic mapping
Golden sine strategy
Robot-assisted surgery
Online Access:https://doi.org/10.1186/s12893-025-03121-2
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https://doi.org/10.1186/s12893-025-03121-2

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