On November 28, DingTalk, in collaboration with Yisheng Jiankang, unveiled the "Doukou Doctor Super Assistant." This marks DingTalk's first professional AI application tailored for doctors, capable of integrating over 40 million global medical research papers within one minute while providing full-chain traceability. Leveraging authoritative medical research evidence, it aims to assist gynecologists in making rapid and efficient clinical diagnoses.
Currently, this AI super assistant primarily focuses on high-complexity medical scenarios such as prenatal diagnosis and gynecological oncology, offering intelligent support for clinicians. Medical research is continuously updated, with over 2 million new papers published annually. Prenatal diagnosis is widely recognized as one of the most challenging fields in evidence-based medicine. Obstetricians often need to consult multiple platforms repeatedly to access the latest research findings for clinical decision-making.
According to the introduction, doctors simply need to submit cases to the Doukou Doctor Assistant. The AI can simulate a physician's evidence-based decision-making process, analyze data, and intelligently retrieve the latest global guidelines from over 40 million authoritative sources. It provides a complete evidence chain, including "guideline recommendations + real-world data + similar cases," generating diagnostic suggestions within one minute. With a vast user base of hospitals and medical institutions in China, DingTalk enables direct access to this AI assistant for healthcare providers.
"General large-model solutions currently cannot address the precision required for clinical decision-making," said Zhu Hong, CTO of DingTalk. "Over the past six months, leveraging DingTalk's enterprise AI platform, we have collaborated with Yisheng Jiankang to advance the development of a gynecological industry-specific large model, continuously improving its accuracy and practicality. The Doukou Doctor AI Assistant is a highly practical application built on this specialized model, designed for professional users in the market."