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On October 21, 2026, Zijing Zhikang, incubated by Tsinghua AIR, released an AI-native clinical diagnosis and treatment operating system that enables AI doctors to collaborate as teams of multi-agent intelligent agents, with physicians making the final decisions. According to an October 21 report by QbitAI, the system offers two modes—on-demand reminders and consultation mode; when the agents' opinions diverge, the disagreements are highlighted and presented to physicians for judgment. As of July 2026, it had built 54 AI doctors and millions of hyper-realistic AI patients, covering thousands of diseases; outpatient testing was carried out in 18 clinical departments of Beijing Tsinghua Changgung Hospital, with more than 40 doctors using it regularly, improving overall diagnostic and treatment efficiency by 30%. Yicai reported on October 22 that the system covers more than 20 clinical departments and tens of thousands of diseases, and that the AI doctors' accuracy on the MedQA dataset exceeds 96%, compared with an average of 87% for human experts; its dual-layer evolution architecture allows AI doctors to first receive high-throughput training in a virtual world and then be deployed to physical hospitals to work alongside human doctors. There has been no further progress since the release.
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Zijing Zhikang releases AI-native clinical diagnosis and treatment operating system
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Oct 22
Yicai
Zijing Zhikang Releases AI-Native Diagnostic and Treatment Operating System, with 54 AI Doctors Teaming Up to Collaborate
On October 21, Zijing Zhikang, incubated by the Institute for AI Industry Research at Tsinghua University, released an AI-native diagnostic and treatment operating system that enables AI doctors to collaborate as a team like experts, with human doctors making the final decisions, improving efficiency by 30%. The system 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 achieved a test accuracy of over 96% on the MedQA dataset, compared with an average of 87% for human experts. Its dual-layer evolution architecture allows AI doctors to first receive high-throughput training in a virtual world and then be deployed in physical hospitals to work alongside and collaborate with real doctors. The technology originates from the evolvable agent technology of Professor Liu Yang's team at Tsinghua University.
Oct 21
QbitAI
Zijing Zhikang, incubated by Tsinghua AIR, releases multi-agent collaborative technology and upgrades Zijing AI Hospital
Zijing Zhikang, incubated by Tsinghua AIR, has released multi-agent collaborative technology for the medical field and upgraded Zijing AI Hospital (Agent Hospital), offering two modes: on-demand reminders and consultation. When agents' opinions differ, the disagreements are highlighted and presented to doctors for judgment. As of July 2026, the system has built 54 AI doctors and millions of hyper-realistic AI patients, covering thousands of diseases; 18 clinical departments at Beijing Tsinghua Changgung Hospital have conducted outpatient testing, with more than 40 doctors using it regularly, improving overall diagnostic and treatment efficiency by 30%. AI doctors have achieved over 96% accuracy on the MedQA dataset and attained the highest scores in multiple international medical evaluation datasets.