Information Technology
Yidu Tech's AI Agents Now Handle 20% of Hospital Tasks: Human-Machine Collaboration Model Showcased at Summer Davos
Gong pointed out that aging populations pose major challenges to healthcare systems, she emphasized that structuring unstructured medical data is key to enabling AI in healthcare.
Over the past decade, Yidu Tech has invested heavily in data standardization, making medical data computable and actionable. Its core engine, YiduCore, has processed over 6 billion medical records—forming the foundation for AI-enabled healthcare.
With breakthroughs in large language models, this data governance capability is yielding exponential value. Yidu has developed a medical-domain LLM and launched the "AI Middleware Platform," implemented in over 30 tertiary hospitals in three months. Acting as an "AI Copilot Station," the platform supports doctors across the full clinical workflow—from pre-consultation to diagnosis and post-care—reducing workload and enhancing precision. From February to
June 2025 , the AI assistant built on the AI Middleware Platform assisted doctors in serving a total of 26,000 patients.
Gong believes AI remains in its early stages, and its success lies in deep human-technology synergy. To address varied clinical needs, Yidu enables doctors to build zero-code, modular smart assistants, shifting from tool-based support to co-created capabilities.
Internally, Yidu embraces AI to enhance adaptability and efficiency, with AI agents handling around 20% of routine work. Gong emphasizes that agility and resilience are more vital than technological advantage. China's large-scale medical scenarios give AI a unique edge, and Yidu will continue leveraging data and AI to drive more efficient, precise, and accessible healthcare.
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