钉钉上跑出的第一个行业专属大模型落地：准确率超 90% 的妇科专业大模型

Core Viewpoint - The successful training of the "Doukou Gynecology Model" by Yisheng Jiankang on DingTalk's AI platform marks a significant advancement in the integration of AI into specialized medical fields, achieving a diagnostic accuracy of 90.2% [1][3]. Group 1: Model Development and Performance - The Doukou Gynecology Model achieved a diagnostic accuracy of 90.2%, aligning closely with professional doctors' diagnoses [2][3]. - Initially, the model's accuracy was around 77.1%, which met basic industry standards but required further improvement for medical applications [2][3]. - The collaboration with DingTalk allowed for enhancements in data processing, computational power, and model optimization, leading to a significant performance boost within a month [3][5]. Group 2: Industry Impact and Future Prospects - The introduction of the Doukou Gynecology Model is expected to alleviate the shortage of specialized gynecologists and provide substantial value to both medical institutions and female users [2][4]. - The model can generate professional self-diagnosis results in seconds, significantly reducing the average waiting time for online consultations [3][4]. - Future iterations of the model aim to expand into other medical fields, such as dermatology, providing accessible health guidance to users [4][5]. Group 3: DingTalk's Role and Ecosystem Expansion - DingTalk's support in developing the Doukou Gynecology Model represents its first specialized vertical model, indicating a trend towards industry-specific AI applications [5][6]. - The platform offers comprehensive support for enterprises in building and deploying their own models, addressing challenges in data handling and model training [6]. - DingTalk is restructuring its ecosystem to include AI entrepreneurs, moving beyond traditional service models to foster collaboration in AI development [6].