Research on Public Opinion of Medical Artificial Intelligence Based on BERTopic

Corresponding author: yuxiaoying, bmxiaoyingy@mail.scut.edu.cn

DOI: 10.12201/bmr.202609.00006

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  Abstract: Purpose/Significance This study reveals the public’s cognitive attitude, core concerns and dynamic evolution of medical artificial intelligence, provides decision support for policy formulation and governance optimization, and promotes the inclusive development of medical AI. Method/Process This study collected Douyin ( 23 862 ), Xiaohongshu ( 5 085 ) and Weibo ( 1 866 ) medical artificial intelligence related post comments, and obtained 29 424 valid comments after preprocessing. The BERTopic model was used to carry out topic recognition and evolution analysis, and the BERT model was used for sentiment analysis.Result/Conclusion Six core issues were identified, including boundary cognition of AI diagnosis and treatment ability, perception of AI medical occupational shock, landing conditions of AI medical application, dispute of AI medical responsibility attribution, expectation of AI medical inclusive value and expectation of AI medical future impact. The overall public sentiment is characterized by '' negative dominance and polarization '', and there are obvious differences in the distribution of emotions between different platforms. This study overcomes the limitations of traditional methods in short text analysis, and innovatively constructs a new perspective of public opinion analysis from “theoretical presupposition” to “public spontaneity”, which provides a new paradigm for identifying the real concerns of the public and promoting the construction of “Healthy China”.

  Key words: Medical Artificial Intelligence; BERTopic; Topic Evolution; Platform Differences; Public Perception

  Submit time: 4 September 2026

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2026-05-13	10.12201/bmr.202609.00006V1	Download

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