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创业慧康:把握AI+医疗新趋势 多场景应用成效显著
Group 1 - BsoftGPT successfully integrated with Qizhen Medical Knowledge Base, enabling Chuangye Huikang to launch differentiated smart medical products through a "knowledge-driven + scenario empowerment" strategy [1] - The AI + medical assistant system provides comprehensive intelligent medical support, covering key processes such as pre-consultation, precise triage, report interpretation, and medication guidance [1] - The "Health Zhongshan" platform, based on BsoftGPT and DeepSeek technology, offers intelligent guidance, AI report analysis, and health advice, optimizing the diagnosis and treatment process [1] Group 2 - Chuangye Huikang, in collaboration with Zhejiang University, launched a patient precision screening system that integrates 12 types of clinical data to identify high-risk patients [2] - The APTS system, piloted at Taizhou Enze Medical Center, tracked over 3,000 outpatient cases in one month, recalling over 800 patients needing intervention, improving early diagnosis and treatment rates by 42% [2] Group 3 - A joint AI + medical innovation laboratory was established to focus on the integration of AI technology in clinical settings, enhancing hospital management and clinical decision-making [3] - The laboratory aims to automate the generation of standardized medical documents, improving efficiency in daily medical documentation for doctors [3] Group 4 - Fujian Medical University Affiliated Xiehe Hospital utilized Chuangye Huikang's AI to enhance hospital management and resource utilization efficiency [4] - Wuhan Central Hospital implemented the DeepSeekR1 intelligent platform, improving decision-making efficiency by over 50% in rare disease diagnosis and complication warnings [4] Group 5 - Chuangye Huikang is actively developing the next-generation medical large model, collaborating with Zhejiang University to create a dual-driven medical model that transitions AI from a tool to a clinical decision partner [5] - The company aims to drive equitable healthcare resource distribution through data intelligence and enhance access to safe and efficient smart medical services [5]