美中爱瑞×火山引擎：肿瘤医院如何用AI提升诊疗效率？

Core Insights - The integration of AI in healthcare, particularly through large models, is transforming the efficiency of medical processes and enhancing patient experiences [1][3][5] Group 1: AI Applications in Healthcare - The introduction of the "AI Pre-Consultation" assistant allows patients to upload their medical history, which is then structured and summarized for doctors, saving time and improving the quality of consultations [3][4] - The large model can match patients with clinical trial criteria, automating the notification process and reducing the burden on doctors [4] - AI capabilities extend to pain assessment, utilizing facial expression recognition to provide timely and accurate evaluations of patient discomfort [4] Group 2: Enhancing Medical Knowledge and Research - The use of AI in multidisciplinary treatment (MDT) meetings helps doctors manage complex cases by integrating data from various medical systems, thus improving decision-making efficiency [5][6] - AI tools assist in knowledge iteration and research by enabling quick access to relevant literature and facilitating the learning of new medical knowledge [6][7] Group 3: Building Intelligent Healthcare Platforms - The collaboration with Volcano Engine aims to create an "Intelligent Hospital Platform," enhancing service efficiency and patient experience through comprehensive data integration and AI technology [7] - The platform encompasses a full-service system from infrastructure to application development, promoting the digital transformation of healthcare [7]