The integration of Artificial Intelligence (AI) into Minimally Invasive Surgery (MIS) and Image-Guided Surgery (IGS) represents a transformative advancement in modern surgical practice. This thesis explores the pivotal role of AI in enhancing precision, reducing human error, and improving patient outcomes, utilizing technologies such as machine learning (ML), deep learning (DL), and convolutional neural networks (CNNs).