Digital and Intelligent Health Forum | Su Bin: Advancing high-quality medical dataset development

Despite the massive volume of domestic medical data resources, challenges persist, such as fragmented institutional data, pronounced data silos, and disorganized raw data, said Su Bin, chairman of Taoding Digital Technology, at the Digital and Intelligent Health Forum during the 2026 World Internet Conference Digital Silk Road Development Forum on July 22.

The lack of a comprehensive system for medical data circulation, application, and transactions – coupled with the limited availability of compliant and usable data – also poses a key obstacle to the real-world implementation of medical AI technologies.

According to Su, Taoding Data Technology Co has undergone a strategic transformation, evolving from a local data annotation company into a provider of high-quality medical dataset construction and intelligent application services.

The company employs over 3,000 full-time annotators and has assembled a medical expert annotation team of more than 300 full-time professionals. It also collaborates with over 20,000 senior medical experts from top-tier hospitals to build a professional medical data service system.

Utilizing its proprietary data platform, Taoding Data Technology employs AI-assisted pre-annotation, expert precision annotation, and multi-level quality control to maintain standardized quality assurance.

The enterprise has developed a variety of medical datasets and specialized disease databases, providing services to several major AI model enterprises and earning four consecutive inclusions in the "AI Data Annotation Industry Map – 2026".