AI Empowering Healthcare: Yidu Tech’s Data-Driven Innovation and Human-Machine Collaboration Showcased at Summer Davos

AI Healthcare Advances Highlighted at World Economic Forum 2025 in Tianjin

The 16th Summer Davos Forum, part of the World Economic Forum 2025 Annual Meeting of the New Champions, took place in Tianjin, China from June 24 to 26. Among the key topics discussed, artificial intelligence stood out as a major driver for global economic growth, especially within healthcare.

Gong Rujing (Gong Yingying), Founder and Chairwoman of Yidu Tech and a Young Global Leader, represented the AI healthcare industry during the themed dialogue “The AI+ Era.” She shared the stage with leaders from Siemens AG, the China Center for International Economic Exchanges, and Two Sigma, moderated by Azeem Azhar, CEO of Exponential View.

Building AI-Driven Healthcare Infrastructure and Clinical Applications

Gong emphasized the pressing challenges that aging populations pose to healthcare systems worldwide. She explained that Yidu Tech was founded a decade ago anticipating that traditional healthcare supply chains would struggle as the population ages, especially by 2030.

The core hurdle for AI in medicine is dealing with unstructured medical data. Yidu Tech has spent ten years focusing on data standardization and governance, making medical records computable and ready for AI applications. Their algorithm engine, YiduCore, has legally processed over 6 billion medical records, providing a solid foundation for AI-driven healthcare solutions.

Recent breakthroughs in large model technology have enabled Yidu Tech to develop a medical-specific large language model and launch an AI Middleware Platform. This platform helps build smart hospitals and has been implemented in more than 30 top-tier hospitals within just three months.

Currently, doctors manage 30 to 100 patient visits daily. Yidu’s AI Middleware Platform acts as an “AI Copilot Station,” integrating deeply into diagnosis and treatment workflows. It supports pre-diagnosis information gathering, real-time decision support during consultations, and post-diagnosis patient management, easing doctors’ workloads.

• Pre-diagnosis: An intelligent pre-consultation system collects patient complaints, histories, and medication info via natural language interaction, improving data quality.
• In-consultation: AI parses past medical records in seconds, generating timelines and trend charts to aid clinicians in understanding patient histories quickly and thoroughly.
• Post-diagnosis: The AI patient management platform facilitates data exchange within and beyond hospitals. It offers personalized follow-up, rehabilitation, and medication guidance, boosting patient compliance and care quality.

Between February and June 2025, this AI-assisted platform helped doctors treat 26,000 patients, showcasing tangible impact on healthcare delivery.

Human-Machine Collaboration Enhances Medical Practice and Organization

Gong highlighted that AI is still evolving and that its full potential is yet to emerge. Yidu Tech’s strategy centers on delivering real value in end-user scenarios, prioritizing collaboration between humans and AI technology.

Traditional AI healthcare tools often fall short because they attempt to apply uniform solutions across diverse medical specialties and workflows. To address this, Yidu Tech introduced the “Custom Smart Assistant” feature. This zero-code, modular tool allows doctors to create AI assistants adapted to their specific needs and workflows.

This shift moves AI in healthcare from simply providing tools to enabling doctors to co-create capabilities that fit their unique contexts. It also increases accessibility to medical services by empowering clinicians directly.

Internally, Yidu Tech embraces AI transformation by fostering a culture of adaptability and collaboration between human teams and AI agents. Currently, AI agents handle about 20% of the company’s daily tasks, reflecting a shift in work patterns toward human-machine symbiosis.

Addressing Challenges and Leveraging Unique Opportunities

Data privacy, cross-institution collaboration, and ethical concerns remain universal challenges in AI healthcare development. However, China’s large-scale healthcare system offers unique advantages for the iterative improvement of AI technologies.

As AI integration in healthcare moves beyond concepts into practical applications, Yidu Tech continues to focus on data-driven innovation to improve efficiency, precision, and accessibility in medical services.

For healthcare professionals interested in expanding their AI knowledge and skills, exploring specialized AI healthcare courses can provide valuable insights on applying AI tools effectively in clinical settings. Resources like Complete AI Training’s healthcare-focused courses offer practical guidance tailored to medical professionals.