Artificial Intelligence entails simulation of human intelligence by machines. The capacity for systems to generate big data coupled with the increasing affordable computational power has enabled progress from machine learning to deep learning. Artificial intelligence(AI) solutions could be applied in in the preoperative, intraoperative and postoperative laparoscopic care of patients as well as in the training of surgeons. Its potential for reproducibility and consistency is a drive for conditional autonomy in robotic laparoscopic systems. However issues of bias, privacy concerns and explainability of deep learning algorithms are challenges in the faster deployment of AI systems.
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Ekwunife et al. (2024) studied this question.
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