重磅大会密集召开 脑机接口从“单点突破”转向“全链条攻坚”
Bei Jing Shang Bao·2025-12-03 12:57

Core Insights - The brain-computer interface (BCI) industry in China has entered a critical phase of "clinical value verification and early industrialization" with significant policy support and upcoming major conferences [2][3][4] - The industry is characterized by three parallel paths: "invasive" breakthroughs, "non-invasive" popularization, and "semi-invasive" exploration, with a focus on integrating AI with non-invasive technologies [7][8] - The market for brain-computer interfaces is expected to reach 5.58 billion yuan by 2027, with a growth rate of 20% as applications expand beyond healthcare into various sectors [7] Industry Developments - The "2025 Brain-Computer Interface Conference" will take place in Shanghai on December 4-5, featuring competitions that demonstrate the transition of BCI technology from laboratory to application [3] - Following this, additional conferences in Hangzhou and Shenzhen will further explore BCI applications and innovations [3] - The industry is transitioning from a focus on technical novelty to meeting specific clinical needs and establishing quantifiable clinical endpoints [4] Technological Landscape - BCI technology is categorized into three types: invasive, non-invasive, and semi-invasive, with non-invasive methods being the mainstream due to their safety and ease of use [5][6] - Invasive methods are seen as the future competitive edge due to their ability to capture higher quality neural signals, essential for functional restoration [6][7] - AI is opening new commercial opportunities for non-invasive BCIs, particularly in diagnosing and monitoring brain diseases [6][7] Challenges and Solutions - The BCI industry faces a "technology-cost-ethics" triangle dilemma, requiring solutions that address technical challenges, cost reduction, and ethical concerns regarding data privacy [8][9] - Proposed solutions include developing a data governance framework, promoting open-source communities for algorithm development, and creating collaborative networks among government, industry, academia, and medical sectors [9]