Core Insights - A new autonomous robotic system developed by scientists at Johns Hopkins University aims to perform retinal vein cannulation with high precision, potentially opening new avenues for treating severe eye diseases [1][2] Group 1: Technology and Innovation - The robotic system integrates advanced robotic control technology with high-resolution imaging and deep learning algorithms, demonstrating exceptional perception and feedback capabilities [1] - The system is equipped with two robots specifically designed for minimally invasive eye surgery, which can track needle movement in real-time and autonomously plan optimal paths for precise puncture [2] Group 2: Clinical Application and Performance - Retinal vein occlusion is a sight-threatening condition, and the new cannulation technique shows a 90% success rate in stationary eyes and an 83% success rate under dynamic simulation conditions [1][2] - The required precision for the procedure is less than 100 micrometers, surpassing human hand capabilities, indicating that robotic and AI technologies can partially automate the most delicate eye surgeries while ensuring safety, accuracy, and reproducibility [2]