医渡科技(02158)中期毛利同比增长14.2%至1.34亿元 服务 17 家头部跨国药企 惠民保参保人数破615万
智通财经网·2025-11-27 04:35

Group 1 - The company Yidu Technology (医渡科技) reported interim results for the six months ending September 30, 2025, with revenue of approximately 358 million yuan, an increase of 8.7% year-on-year; gross profit was about 134 million yuan, up 14.2% year-on-year; and the loss narrowed to 15.76 million yuan, a decrease of 72% year-on-year [1] - The big data platform and solutions segment generated revenue of 153 million yuan, a year-on-year increase of 14.6%, primarily benefiting from expanded business opportunities driven by policy support [1] - The health management platform and solutions segment reported revenue of 66.6 million yuan, a year-on-year increase of 30.3%, mainly due to changes in the product mix [1] Group 2 - YiduCore, the company's core algorithm engine, continued to advance the research and training of large language models in the medical vertical during the reporting period, training on over 500 billion high-quality tokens and analyzing nearly 7 billion authorized medical records from over 1.3 billion patient visits, creating a dataset system covering more than 98 specific diseases [2] - The model won the "Best Paper Award" and the championship in the "Medical NLP Code Auto-Generation Evaluation" at the 11th China Health Information Processing Conference (CHIP 2025) and also secured first place in the medical health track at the 2025 "Data Element ×" competition in Jiangxi [2] - As an important ecological partner in the national artificial intelligence application pilot base in Beijing's medical field, YiduCore achieved large-scale deployment across medical, pharmaceutical, and health insurance sectors through a "one base, multiple applications" model, fully implementing a comprehensive solution across "medicine - pharmaceuticals - insurance - patients" [2] Group 3 - During the reporting period, the company provided solutions to 127 top hospitals in China and 44 regulatory agencies and policymakers, covering over 10,000 hospitals in total [3] - The company utilized a dual-driven approach of "data elements × AI technology" to solidify its data intelligence foundation and accelerate the large-scale application of intelligent solutions [3] - The large model technology assisted multiple hospitals in upgrading their data governance and research platforms, with clinical research expanding into oncology, respiratory, and traditional Chinese medicine disciplines, while the doctor Copilot product matrix achieved full coverage of the diagnosis and treatment process, with over 50,000 uses in a single hospital [3]