Abstract: The clinical application of binocular endoscope relies primarily on the visual system of the doctor to create a three-dimensional effect, but it cannot provide accurate depth information data. The utilization of 3D reconstruction technology in binocular endoscopy facilitates the recovery of image depth information, and the application of deep learning-based 3D reconstruction technology significantly enhances accuracy and real-time reconstruction results, thus finding extensive applications in the realm of minimally invasive surgery. This paper aims to explore the key technologies and implementation methods of 3D reconstruction for binocular endoscopic images using deep learning. It also seeks to outline strategies for enhancing the quality of 3D reconstruction in endoscopic images, providing guidance for sustainable development of binocular endoscopic image reconstruction technology in clinical settings. This will assist in the application of minimally invasive surgery and contribute to meeting the demands of precision medicine