Core Insights - The article highlights the successful production of the 35,000th detector at GE Healthcare's Beijing imaging equipment manufacturing base, emphasizing the importance of the detector in determining CT imaging quality [1][3]. Group 1: Detector Technology - The detector consists of three critical components: the scintillation crystal layer (captures X-rays), the photoconversion layer (converts signals), and the electronic circuit layer (processes data), all requiring micron-level alignment for optimal performance [3][5]. - The scintillation crystal, a key material for the detector, was previously a significant barrier for domestic high-end imaging equipment, but a partnership with Sichuan Meishan Boya New Materials Company has led to the successful validation of L(Y)SO scintillation crystals [3][5]. Group 2: Production Efficiency - Each CT detector requires 416 matching chip units, and variations in crystal growth direction and doping uniformity can lead to performance discrepancies; thus, precise matching is essential to avoid imaging errors [5]. - The use of AI algorithms has significantly reduced the traditional manual matching process from 5 hours to just 10 minutes, allowing for the selection of complementary chip combinations to meet diverse equipment needs while ensuring imaging quality [5]. - An AI quality inspector, trained on over 600,000 production experiences, can identify over 90% of raw material quality issues early in the production process, minimizing waste caused by traditional manufacturing defects [5].