Home Innovation Building the Chinese version of Open Evidence, Ant AQ's PC client has launched the DeepSearch feature

Building the Chinese version of Open Evidence, Ant AQ's PC client has launched the DeepSearch feature

Jan 21, 2026 08:00 CST Updated 16:09

On January 20th, Ant Yikang's AI medical health application AQ (chat.antaq.com) upgraded its PC client and launched DeepSearch, a feature designed to create a Chinese version of "Open Evidence." This service is offered free of charge to medical professionals, including doctors, medical students, and primary healthcare workers, among others in the broader medical field. The AQ PC client provides two core professional capabilities: health consultation and DeepSearch. It serves as an AI-powered assistant for physicians in tasks such as literature review, clinical diagnosis and treatment, as well as research work, significantly alleviating the burden of their daily responsibilities.


 

It is reported that the AQ PC client has implemented a tiered filtering of data based on evidence hierarchy when adopting information sources. It encompasses 36 million high-quality medical records, which include both extensive international authoritative resources and the latest guidelines and consensus from Chinese authorities such as the Chinese Medical Association. This approach integrates a global perspective with the unique characteristics of clinical practice in China, ensuring that the assisted decision-making process aligns more closely with the working needs of Chinese physicians.


Leveraging vast volumes of professional literature from both Chinese and international sources, physicians can utilize the DeepSearch feature not only to access the latest frontier guidelines across various specialty fields promptly but also to employ AI tools for literature review, significantly saving time and effort in information gathering and organization.


Furthermore, the DeepSearch function on the AQ PC client now possesses clinical decision-support capabilities underpinned by evidence-based logic. In clinical practice, devising diagnostic and treatment plans for complex cases often requires extensive time for literature retrieval and guideline verification. DeepSearch assists physicians by providing insights into the latest global treatment protocols, rapidly integrating evidence-based support, and presenting well-reasoned, clinically detailed logical deductions to help establish clear diagnostic and therapeutic frameworks. Additionally, DeepSearch supports features such as literature annotation and source tracing, evidence-level hierarchical filtering, and quick matching with authoritative guidelines, further alleviating the clinical and research burden on healthcare professionals.


This upgrade of the PC client marks a further maturation of Ant AQ's dual-strategy layout encompassing both the user and physician ends. On the user end, the Ant AQ App has become the largest health management application in China in terms of user scale, with daily user inquiries exceeding 10 million. Supported by its self-developed AI Medical Health Large Model, AQ offers "AI digital avatars" technology to physicians across China. Over 1,000 physicians have established their own AI digital avatars on the AQ App, providing round-the-clock responses to user health inquiries.