Needle Insertion

Needle insertion, a crucial procedure across diverse medical fields, is undergoing significant research to improve accuracy, safety, and efficiency. Current efforts focus on developing advanced image-guided systems using techniques like structured light, optical coherence tomography, and machine learning algorithms (including convolutional neural networks and reinforcement learning) for real-time needle tracking and tissue classification. These advancements aim to enhance minimally invasive procedures, from biopsies to drug delivery, ultimately improving patient outcomes and reducing procedural complications.