DingTalk Launches Its First AI-Powered Medical Assistant for Doctors: Doukou Super Assistant

On November 28, DingTalk and Testing OneLife jointly launched the “Doukou Doctor Super Assistant.” This is the first professional AI application for physicians on DingTalk, capable of consolidating over 40 million global medical professional literature sources within one minute and providing full-chain traceability. By leveraging authoritative medical research evidence, it assists obstetricians and gynecologists in making rapid and efficient clinical diagnoses. Physicians can quickly access the tool by searching for “Doukou Doctor Super Assistant” in the DingTalk App Center.

Currently, this AI super assistant primarily focuses on high-complexity medical scenarios such as prenatal diagnosis and gynecologic oncology, aiming to provide robust intelligent support for clinicians. Hu Wensheng, Director of the Prenatal Diagnosis Center at the Women’s Hospital, School of Medicine, Zhejiang University, expressed strong expectations for the practical implementation of the AI assistant in clinical settings: “In the context of prenatal diagnosis, the professional recommendations provided by AI—based on literature and clinical guidelines—regarding the probability of fetal diseases, cure rates, and prognostic guidance will serve as a critical basis for achieving precise diagnosis and facilitating high-quality doctor–patient communication, thereby delivering more reliable and efficient professional support for clinical practice.”

It is understood that research findings in the medical field are updated in real time, with more than 2 million new publications added annually. Due to heavy clinical and research workloads, many physicians are unable to promptly locate and assimilate the latest literature, thereby hindering their ability to provide patients with the most effective diagnostic and treatment recommendations. This challenge is particularly pronounced in prenatal diagnosis, which is widely recognized as the specialty with the highest level of difficulty for evidence-based practice, owing to its requirements for multidisciplinary collaboration and ethical risk assessment. Obstetricians must repeatedly consult multiple platforms to review relevant literature and obtain the latest scientific achievements to support their clinical decision-making.

The launch of the Doukou Doctor Super Assistant effectively addresses this pain point for obstetricians and gynecologists. By simply submitting case records to the Doukou Doctor Assistant, physicians can leverage AI that simulates evidence-based clinical decision-making. The system comprehends the clinical question, analyzes data, and intelligently retrieves information from over 40 million authoritative, up-to-date global literature and guidelines. It then constructs a complete chain of evidence comprising “guideline recommendations + real-world data + similar cases,” generating diagnostic and treatment recommendations within one minute.

Doukou Doctor Super Assistant marks a critical leap in medical AI from “functionally usable” to “clinically trustworthy.” Wang Qiangyu, Co-CEO of Testing OneLife, stated, “Professional large language models for healthcare are driving clinical decision-making from experience-driven to evidence-based. By delving into real-world scenarios and addressing physicians’ actual needs, we aim to create a zero-hallucination super assistant (Copilot) that alleviates the burden and enhances the efficiency of doctors’ demanding diagnostic and therapeutic work.”

Doukou Doctor’s Super Assistant also aligns precisely with national policy directives. On November 4, five departments—including the General Office of the National Health Commission, the General Office of the National Development and Reform Commission, the General Office of the Ministry of Industry and Information Technology, the Comprehensive Department of the National Administration of Traditional Chinese Medicine, and the Comprehensive Department of the National Disease Control and Prevention Administration—jointly issued the “Implementation Opinions on Promoting and Regulating the Development of ‘AI + Healthcare’ Applications.” The document explicitly calls for prioritizing the advancement of AI applications in clinical diagnosis and treatment, fostering the development of a series of vertical large language models and intelligent agents tailored to specific clinical specialties and diseases.

“Doukou Doctor Super Assistant is also the first highly practical medical AI agent tailored for the field of obstetrics and gynecology. Moving forward, we will establish partnerships with provincial-level Grade A tertiary hospitals as our foundation, gradually extending our services to municipal, county, and township hospitals, thereby enabling more doctors and patients to benefit from the convenience brought by AI,” said Wang Qiangyu.

Doukou Doctor Super Assistant is the first AI assistant tailored for professional physicians on the DingTalk platform. With DingTalk boasting a vast user base of hospitals and healthcare institutions across China, hospital-side users can directly access this AI assistant without complex system integration, significantly lowering the barrier to implementation. For the countless gynecologists on the DingTalk platform, the AI assistant seamlessly integrates into their clinical workflows, further enhancing diagnostic and treatment efficiency.

The low tolerance for error in the medical field necessitates that AI technology overcome the “hallucination” bottleneck. “Current general-purpose large model solutions cannot address the need for precise clinical decision-making,” stated Zhu Hong, CTO of DingTalk. “Over the past six months, leveraging the DingTalk Enterprise AI Platform, we have collaborated with Testing OneLife to advance the development of a large model specialized for gynecology, continuously enhancing its accuracy and practicality. Douchou Doctor AI Assistant is a highly practical AI assistant application built on this gynecology-specific large model, now launched on the market and targeted at professional users.”

Currently, DingTalk is leveraging its technological capabilities to advance the deployment of industry-specific large language models and AI agents across more sectors, including manufacturing and healthcare. “We also look forward to collaborating with more industry partners on DingTalk to co-develop vertical industry large language models and create AI assistants, jointly serving users across thousands of industries,” said Zhu Hong.