Risk assessment methodology for trajectory planning in keyhole neurosurgery using genetic algorithms

Villanueva-Naquid, Iván; Soubervielle‐Montalvo, Carlos; Aguilar-Ponce, Ruth M.; Tovar-Arriaga, Saúl; Cuevas-Tello, Juan C.; Puente, Cesar; Mejía-Carlos, M.; Torres-Corzo, Jaime Gerardo

doi:10.1002/rcs.2060

Cited by 7 publications

(1 citation statement)

References 36 publications

(90 reference statements)

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“…Dahalan et al 17 presented a mechanism for building an explainable fuzzy logic system for classifying heart rate events to predict potential health issues. Villanueva-Naquid et al 18 used a genetic algorithm to search of the minimum risk trajectory and achieved a considerable risk reduction in keyhole neurosurgery.…”

Section: Introductionmentioning

confidence: 99%

Real‐time trajectory prediction of laparoscopic instrument tip based on long short‐term memory neural network in laparoscopic surgery training

Wang

Yan

Yuan

et al. 2022

Robotics Computer Surgery

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Background To provide appropriate surgical training guidance, some skill evaluation and safety detection methods have been developed. However, these methods are difficult to provide predictive information for trainees. This paper proposes a new approach for real‐time trajectory prediction of the laparoscopic instrument tip to improve surgical training and the patient safety. Methods This paper proposes a real‐time trajectory prediction model of laparoscopic instrument tip based on long short‐term memory (LSTM) neural network. Meanwhile, motion state is introduced to capture more motion information of the instrument tip and improve the model performance. Results The feasibility, effectiveness and generalisation ability of this proposed model are preliminarily verified. The model shows satisfactory prediction accuracy for the trajectory of the laparoscopic instrument tip. Conclusion LSTM neural network can accurately predict the movement trajectory of the laparoscopic instrument tip. The prediction model can play a critical role in operational risk perception in advance, which can be used in laparoscopic surgery training.

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Section: Introductionmentioning

confidence: 99%

Real‐time trajectory prediction of laparoscopic instrument tip based on long short‐term memory neural network in laparoscopic surgery training

Wang

Yan

Yuan

et al. 2022

Robotics Computer Surgery

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Preoperative positioning planning for a robot‐assisted minimally invasive surgical system based on accuracy and safety

Yue

et al. 2022

Robotics Computer Surgery

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Background: Minimally invasive robot-assisted techniques are being used increasingly in surgical procedures, and the preoperative preparation for this kind of operation is more complicated than traditional operations. Method:Taking the placement requirements of minimally invasive thyroid surgery as the research object, taking the kinematic performance and safety of the manipulator as the optimization goal, a set of indexes and pendulums for evaluating the accuracy and safety of the manipulators are proposed accordingly. Results:The optimal preoperative positioning scheme is obtained based on Non dominated sorting genetic algorithm-II multi-objective genetic algorithm. Meanwhile, compared with the optimization results of Gaot genetics and the positional scheme given by the surgeon based on experience, the advantages of the scheme are proved to be obvious. Conclusion:The scheme showed good performance in the comparison and proved the feasibility of the positional scheme in preoperative planning.

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Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation

Cai

Xiong

Sun

et al. 2022

Biomedical Signal Processing and Control

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Risk assessment methodology for trajectory planning in keyhole neurosurgery using genetic algorithms

Cited by 7 publications

References 36 publications

Real‐time trajectory prediction of laparoscopic instrument tip based on long short‐term memory neural network in laparoscopic surgery training

Real‐time trajectory prediction of laparoscopic instrument tip based on long short‐term memory neural network in laparoscopic surgery training

Preoperative positioning planning for a robot‐assisted minimally invasive surgical system based on accuracy and safety

Accurate preoperative path planning with coarse-to-refine segmentation for image guided deep brain stimulation

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