Purpose/Significance To deeply explore the ethical risks of applying artificial intelligence (AI) in the medical field from the perspective of the general public, and to propose countermeasures.Method/Process Focusing on four mainstream social platforms, user comment texts related to medical AI are collected. Based on the computational grounded theory, through pattern recognition, pattern improvement and pattern confirmation, comment data are analyzed, a risk index matrix is constructed, and policy suggestions are put forward. Result/Conclusion Four types of ethical risks are ultimately classified, namely legal ethical risk, humanistic ethical risk, algorithmic ethical risk and data ethical risk, revealing the public’s multi-dimensional concerns about the application risks of AI in the medical field and proposing corresponding countermeasures from different dimensions.