A physical information neural network-based path planning method for flexible needle puncture of soft tissues

Key Points

• This research aims to improve needle puncture methods using advanced path planning techniques.
• Utilized a combined physical information neural network (PINN) with RRT* algorithm.
• Addressed modeling complexity in soft tissue puncture.
• Focused on real-time adaptability to dynamic conditions.
• Reduced dependence on expert techniques for planning.
• Significantly improved safety during needle puncture.
• Enhanced overall efficiency of the process.
• Demonstrated effectiveness in complex modeling scenarios.