Intelligent navigation systems: Adaptive endoscopic navigation strategies for complex intestinal environments by combining the biomechanics

The advancement of endoscopic visual navigation is critical for accurate diagnosis and treatment of colonic disease. However, traditional techniques face challenges in adaptability to complex colonic conditions. This is exemplified by their limited ability to respond effectively to different situations, which results in less accurate navigation planning. This study proposes a navigation system to overcome this issue and improve navigation adaptability. An adaptive strategy has been designed based on a multidimensional discrimination method to guide endoscopes in traversing complex colonic environments. This strategy takes into account the biomechanical properties of the colon, such as tissue flexibility and kinematic characteristics, enhancing navigation accuracy. Furthermore, specific strategies for calculating navigation points have been developed for colonic collapses and tumors to ensure effective navigation under various biomechanical conditions. In simulated tests for the colon model, the system achieved an overall success rate of 92.5% (multiple scenarios), with average deviations of 3.15 mm horizontally and 2.51 mm vertically. Additionally, the system is characterized by its ease of operation, thereby reducing the reliance on operational experience and protracted training. By combining the principles of biomechanics, this study not only improves the accuracy of endoscopic navigation but also provides a new perspective for the treatment of colon diseases and emphasizes the importance of biomechanics in clinical applications.