可远程急救！浙大Science子刊发表AI支气管镜机器人，基层福音！

Core Viewpoint - The development of an AI bronchoscopy robot system represents a significant advancement in the treatment of foreign body aspiration (FBA), particularly for vulnerable populations such as children and the elderly. This system allows for remote operation without the need for preoperative CT scans, enhancing accessibility and efficiency in medical procedures [1][4]. Group 1: Technology and Innovation - The AI bronchoscopy robot system can autonomously search for foreign objects in the lungs, allowing doctors to intervene only at the final stage of the procedure [3][4]. - The system operates with a weight of less than 2 kilograms and a material cost below $5,000, making it affordable for grassroots hospitals [2][10]. - The AI module constructs a topological map of the lung using real-time images, employing a depth-first search algorithm to ensure comprehensive exploration [3][4]. Group 2: Clinical Application and Efficiency - In live animal experiments, the AI-driven procedure took an average of 4.72 minutes to complete, compared to approximately 42 minutes for traditional CT-guided methods [10]. - The AI system demonstrated superior performance in exploring the 10th generation bronchi, identifying an average of 77.5 branches, while human experts identified only 61 branches [4][10]. - The system's design allows it to navigate through smaller diameters (3.3 mm), enabling access to deeper bronchial structures than existing platforms [10]. Group 3: Remote Operation and Accessibility - The system successfully conducted a remote surgery over a distance of 1,500 kilometers using a 5G network, with low latency and high bandwidth, proving its stability and safety under extreme conditions [5][10]. - This technology could significantly improve medical care in remote areas, where local hospitals may lack specialized bronchoscopists [8][10]. - The AI-assisted model allows local healthcare providers to perform procedures with the guidance of distant experts, thereby expanding healthcare access [8][12]. Group 4: Future Implications - The advancement from L2 to L3 autonomy in AI systems indicates a shift towards more intelligent collaboration between AI and human operators in medical procedures [9][12]. - The technology has the potential to fill gaps in emergency treatment for foreign body aspiration in underdeveloped regions, providing a new technical solution for global emergency healthcare [10][12]. - As computational power and communication infrastructure improve, similar AI-doctor collaboration models may be applied to various medical scenarios, enhancing the reach of quality healthcare [12].