Exploring the Transformation in Cognition, Emotion, and Behavior among Stakeholders in Artificial Intelligence Large Models Healthcare Applications

Based on data from multiple platforms such as government websites and medical forums, and using methods such as social network analysis, sentiment analysis, and exponential smoothing, this study deeply analyzes the cognitive, emotional, and behavioral evolution of stakeholders in the medical application of artificial intelligence (AI) large models, focusing on exploring the emotional differences in public perceptions of AI applications across various medical fields. The findings reveal that discussion around AI large model healthcare applications is becoming increasingly active, with deepening cognition, positive emotions, gradually increasing trust, stable and positive behavioral development. Further exploration indicates that the public has high expectations for the application of AI large models in comprehensive top hospitals, Traditional Chinese Medicine, and rural healthcare. Based on these insights, the study proposes targeted recommendations, including enhancing government guidance, encouraging public acceptance, and promoting industry innovation.