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At the intersection of medicine and technology, an AI medical large model that overturns traditional diagnostic methods - "Xihe No. 1" - was officially launched in Beijing on January 31st. This innovative achievement was jointly developed by Peking University Third Hospital, the Peking University Institute of Artificial Intelligence, and Beijing Boya Qunjian Zhi'san Technology Co., Ltd., aiming to enhance the level of intelligence in China's medical services.
"Xihe No. 1" uses a trillion-scale parameter and millions of medical records, with a medical knowledge coverage rate of up to 98% and accuracy exceeding 90%. Such a technical foundation enables it to demonstrate strong capabilities in areas such as disease prediction, diagnosis, and image analysis. This all-in-one machine can significantly shorten the time for disease warnings, reduce misdiagnosis rates, and improve treatment efficiency through cross-regional data interaction, making it particularly suitable for grassroots medical institutions.
At the launch event, relevant experts stated that "Xihe No. 1" is not only a technological innovation but also has deeper significance. With the global development of intelligent healthcare, the popularization of AI medical technology will greatly promote the balanced distribution of medical resources and help solve issues of unequal access to medical services. In addition, the release of this all-in-one machine indicates that China has entered a new stage in international cooperation and technology transfer in the field of medical AI.
The National Health Commission also expressed support for this innovative project, believing that it has important practical significance in improving the level of medical services and promoting public health development. In the future, "Xihe No. 1" is expected to play a key role in the rapid identification and treatment of various critical and emergency cases, contributing to the construction of a global community of health.
This advanced AI medical large model undoubtedly brings a profound transformation to the medical industry. As more grassroots hospitals and medical institutions are connected, we look forward to seeing how it changes the existing medical landscape, allowing everyone to enjoy better medical services.