Tairex Releases Multi-Agent Collaborative Ecosystem

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Sina Tech News, October 24 afternoon: Recently, Tairex, incubated by the Institute for AI Industry Research (AIR) at Tsinghua University, officially released its multi-agent collaborative ecosystem. According to the introduction, this ecosystem breaks through the limitations of traditional single AI tools by building multiple doctor avatar agents with different specialty backgrounds, enabling AI to achieve real-time cross-specialty collaboration and multidisciplinary consultations in diagnosis and treatment.

Notably, the internationally authoritative academic journal Nature previously published an article reporting on Agent Hospital (Tsinghua AI Hospital), built by the Tsinghua University team, as a core case of Chinese AI Agents being deployed in the medical field.

Li Zheng, Chief Marketing Officer of Tairex, said that what Tairex has built is a complete diagnosis and treatment system, as well as three-dimensional regional hierarchical diagnosis and treatment capabilities. He hopes that through grassroots invocation of clinical expert avatars, village doctors or community doctors at the grassroots level can form a three-dimensional service system with higher-level doctors, realizing the goal that "minor illnesses do not leave the county, and major illnesses do not leave the province."

Qiao Yuchen, Chief Product Officer of Tairex, further pointed out that to achieve this goal, AI must not only understand medicine, but also learn to collaborate like human doctors. "Our multi-avatar agents will not only undergo massive training in the virtual world, but will also be deeply bound to doctors in real diagnosis and treatment, evolving alongside them. When facing complex conditions involving multiple departments, doctor avatars from different specialties can 'team up' at any time to provide decision-making references, while the final judgment and responsibility always remain in the hands of human doctors."

At present, Tairex has built 54 AI doctors and millions of hyper-realistic AI patients, covering more than 20 clinical departments and tens of thousands of diseases. The AI doctors' test accuracy on the MedQA dataset exceeds 96%. According to data published by Tairex, on average, after each doctor avatar agent collaborates with a doctor on about 200 cases, the adoption rate of its diagnosis and treatment recommendations can steadily reach over 90%.

Qiao Yuchen introduced that Tairex's multi-agent collaborative ecosystem can arrange high-level expert avatars from the same department to provide guidance, or directly organize multidisciplinary consultations. In this ecosystem, there is no limit on the number of expert avatars; recommendations from different avatars are presented simultaneously, inconsistencies are highlighted as reminders, and the doctor ultimately makes a comprehensive judgment. This mechanism breaks the limitations of physical space, allowing high-quality medical experience to cross departments and benefit patients.

At the same time, grassroots doctors themselves can also have exclusive avatars. Li Zheng said that with Tairex's ecosystem, a grassroots doctor is expected to manage thousands of residents within their jurisdiction more efficiently. Their avatar can monitor data fluctuations returned by wearable devices in real time, determine which indicators require early warning and which groups need referral to higher-level hospitals, and provide residents with personalized health management plans.

As of July 2026, 18 clinical departments at Beijing Tsinghua Changgung Hospital have had outpatient test runs of the Agent Hospital system, with more than 40 doctors using it regularly. According to statistics on outpatient process time, doctors' overall diagnosis and treatment efficiency has increased by 30%. news_keyword_pub,stock, iframe below body text iframe below body text General statement General statement QR code at end start QR code at end start

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