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Xunfei, the official provider, announced that its Xunfei Starfire Medical Large Model has topped the latest MedBench ranking with a high score of 95.4. This achievement marks another breakthrough for Xunfei in the field of medical artificial intelligence, particularly showcasing strong advantages in complex medical reasoning, medical language understanding, and medical safety.
MedBench is a Chinese medical large model evaluation platform jointly established by the Shanghai Artificial Intelligence Laboratory and multiple institutions. Its aim is to provide comprehensive capability assessments for the medical field. The platform integrates rich medical knowledge and expert experience, covering five dimensions: medical language understanding, generation, answering, reasoning, safety, and ethics. The assessment content involves multiple fields such as medical exams, patient services, and medical consultations, providing scientific evaluation standards for Chinese medical large models.
Source Note: Image generated by AI, image authorized service provider Midjourney
The medical AI diagnosis assistant of Xunfei has been applied in over 74,000 grassroots medical institutions across 692 districts and counties in 31 provinces and municipalities nationwide, serving more than 220,000 grassroots doctors. This not only significantly improves the work efficiency of grassroots doctors but also greatly enhances the quality of service. Xunfei Medical stated that they have conducted in-depth cooperation with over 500 tertiary hospitals, aiming to provide innovative service systems centered on patient management through the Xunfei Spark Medical Large Model, and promote the improvement of medical quality.
This result not only demonstrates Xunfei's technical strength in the field of artificial intelligence in medicine but also injects new momentum into the development of grassroots healthcare in China. With the increasing demand for healthcare, the application prospects of the Xunfei Spark Medical Large Model are broad, and it will play an important role in more medical scenarios in the future.
