DingTalk's Industry Large Model Takes Another Step Forward: Launches First AI Doctor Assistant

On November 28, DingTalk, in partnership with Yisheng Jiankang, launched "Doukou Doctor Super Assistant," the first professional AI application on the DingTalk platform tailored for physicians. The app can integrate more than 40 million medical research papers from around the world within just one minute and provide full-link traceability. Based on authoritative medical evidence, it helps obstetricians and gynecologists improve their clinical diagnostic efficiency. Physicians can quickly access the app by searching "Doukou Doctor Super Assistant" in the DingTalk App Center.

Focusing on High-Complexity Clinical Scenarios

Currently, this AI super assistant primarily serves high-complexity medical fields such as prenatal diagnosis and gynecologic oncology, providing intelligent support to clinicians. Hu Wensheng, director of the Prenatal Diagnosis Center at the Obstetrics and Gynecology Hospital of Zhejiang University School of Medicine, said: "In prenatal diagnosis, the AI's recommendations on fetal disease probabilities, cure rates, and prognosis based on literature and guidelines will become an important basis for precise diagnosis and high-quality doctor-patient communication, significantly enhancing the reliability and efficiency of clinical work."

Breaking Through the Challenges of Evidence-Based Medicine for Doctors

Medical research is advancing rapidly, with more than 2 million new papers published annually. Due to heavy clinical and research workloads, doctors struggle to keep up with the latest findings in a timely manner. In particular, prenatal diagnosis involves multidisciplinary collaboration and ethical considerations, making it one of the most challenging specialties for evidence-based practice. Traditional methods require doctors to search across multiple platforms, which is time-consuming and labor-intensive. The Doukou Doctor Super Assistant simulates a physician's evidence-based thinking. After analyzing case data, it intelligently retrieves information from more than 40 million globally authoritative papers and guidelines, generating a complete evidence chain that includes "guideline recommendations + real-world data + similar cases." Within one minute, it outputs treatment recommendations, significantly improving decision-making efficiency.

Moving Toward "Clinically Trusted" Medical AI

This application marks a critical leap forward for medical AI—from "functionally usable" to "clinically trusted." Wang Qiangyu, CEO of Yisheng Jiankang, stated: "Professional medical large models are driving clinical decision-making from being experience-driven to evidence-driven. We are committed to building a zero-hallucination doctor copilot that truly reduces the workload and increases the efficiency of physicians." The product also aligns with national policy guidance. On November 4, five government departments jointly issued the "Opinions on Promoting and Regulating the Development of 'AI + Healthcare' Applications," which explicitly calls for advancing AI in clinical diagnosis and treatment, as well as developing vertical large models and intelligent agents for specific diseases and specialties. Wang Qiangyu explained: "The Doukou Doctor Super Assistant is the first highly practical medical AI agent in the field of obstetrics and gynecology. In the future, we will use provincial-level top-tier hospitals as a base and gradually extend its use to city and township hospitals, enabling more doctors and patients to benefit from AI technology."

As DingTalk's first AI assistant designed specifically for medical professionals, this tool does not require complex system integration. Hospital users can directly access it within DingTalk, greatly lowering the barrier to adoption. The AI assistant seamlessly integrates into doctors' daily workflows, further enhancing clinical efficiency. Addressing the low tolerance for errors in healthcare, Zhu Hong, CTO of DingTalk, pointed out: "General-purpose large models struggle to meet the precision requirements of clinical decision-making. Over the past six months, we have worked with Yisheng Jiankang, leveraging the DingTalk Enterprise AI Platform, to jointly develop a specialized large model for gynecology, continuously improving the model's accuracy and practicality. The Doukou Doctor AI assistant is a concrete demonstration of this highly practical achievement in a vertical domain." DingTalk is actively promoting the deployment of large models and AI agents in industries such as manufacturing and healthcare. Zhu Hong stated: "We welcome more industry partners to join us in co-creating vertical-domain large models on the DingTalk platform, building dedicated AI assistants to serve a wide range of sectors."

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