Yidu Technology Reports FY2025 Results: Large-Scale Deployment of Medical AI Models and Clinical Agent Breakthroughs

On June 25, Yidu Tech (2158.HK), a leading enterprise in China’s AI healthcare industry, released its financial results for fiscal year 2025. During the reporting period, the company achieved revenue of RMB 715 million, with its annual loss narrowing to RMB 135 million, representing a significant year-on-year reduction in losses of 38.9%. Throughout the period, Yidu Tech continued to deepen its technological breakthroughs and scenario-based empowerment of its self-developed large language model tailored for the medical vertical, while the scaled deployment of its AI middle platform accelerated the intelligent transformation of healthcare scenarios.

As the core algorithmic engine of Yidu Tech, YiduCore has cumulatively processed and analyzed 6 billion authorized medical records covering over 1.15 billion patient visits. It has accumulated insights into tens of thousands of diseases, with its disease knowledge graph basically covering all known diseases and its specialized disease databases encompassing more than 90 disease types. Through close collaboration with renowned industry experts and researchers, it has produced datasets in 20 specialized disease areas.

Yidu Tech’s large language model (LLM) ranks among the industry leaders, demonstrating outstanding performance in healthcare-specific LLM evaluations: In September 2024, Yidu Tech’s LLM secured first place in the LLM capability assessment for triage scenarios, organized by the National Health Commission of China.

Leveraging its technical depth and scenario adaptability, the AI Middle Platform has gained high recognition from clients and achieved large-scale penetration across various customer segments. Notable achievements include breakthrough implementations in multiple diagnostic and treatment scenarios at specialized oncology hospitals; the launch of China’s first intelligent agent for liver cancer diagnosis and treatment in collaboration with Academician Teng Gaojun’s team; and empowering the construction of the Health and Medical Big Data Platform in the Tianjin Binhai New Area Economic-Technological Development Area through large-model-based intelligent triage and digital therapeutics. These efforts have realized multi-point advancements, ranging from comprehensive intelligence in general hospitals to deep specialization in specific diseases, followed by expert-led intelligent guidance and large-scale population-level applications, thereby accelerating the intelligent transformation of the healthcare industry. To date, the AI Middle Platform has been deployed in more than 30 Grade A tertiary hospitals. From February to June 2025, the AI Diagnostic and Treatment Assistant, built on the AI Middle Platform, assisted physicians in serving a cumulative total of 26,000 patient visits.