BackgroundPreventable medical errors and iatrogenic injuries remain significant contributors to mortality and morbidity, emphasizing the need for effective clinical training methodologies.Traditional teaching methods often inadequately prepare physicians for mastering procedural skills.Surgical procedures like nephrectomy for kidney tumor removal require intricate understanding of renal anatomy and meticulous technique.Close coordination among the specialists remains crucial to ensure optimal patient outcomes.Simulators offers an alternative solution to close coordination and a promising avenue for training in kidney tumor removal, with various existing products providing realistic models, interactive simulations, and performance feedback.A similar problem lies in kidney biopsy to a large extent.Simulation training has emerged as a promising approach to enhance procedural competencies.While historical medical models have evolved into sophisticated simulators, accurately replicating respiratory movements remains a challenge.Furthermore, current simulators lack the ability to replicate breathing movement, which impacts their fidelity in simulating real surgical environments.Integrating dynamic respiratory simulations into virtual reality platforms presents a potential solution to this limitation.By mimicking tumor movement during breathing, such simulations could offer a more comprehensive training experience closely resembling real-world surgical conditions.
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Adhikary et al. (2024) studied this question.
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