国产医疗大模型登顶权威榜单，核心秘籍：PB级训练数据、模拟医生真实会诊过程

Core Insights - The latest multi-modal medical model ranking by MedBench shows that Shukun Technology's Shukun Multi-modal Medical Model V3 achieved the highest score of 63.6, surpassing models from WeDoctor, Yunzhisheng, OpenAI, Google, and Alibaba [1][2]. Model Performance - Shukun's V3 model scored 73.4 in medical visual perception, 51.1 in cross-modal semantic understanding, and 66.4 in clinical decision support, indicating strong capabilities in these areas [3][8]. - The model's performance is attributed to its training data and strategy, which includes a multi-disciplinary consultation approach that mimics human expert diagnosis [4][11]. Training and Data Accumulation - Shukun Technology has accumulated PB-level medical data through partnerships with over a thousand hospitals, enhancing the model's training process [11][12]. - The training strategy involves simulating the clinical decision-making process of doctors, integrating various modalities of medical data for comprehensive analysis [12][16]. Industry Context - The AI healthcare sector is rapidly evolving, with Shukun Technology being a pioneer in applying AI to medical imaging and diagnostics [13][17]. - The model's success reflects a shift in the competitive landscape, where the effectiveness of medical models is increasingly determined by their practical application in real clinical settings rather than just their parameter size [18].