Objective To explore the application of artificial intelligence in the standardized residency training in the department of stomatology and to provide references for its development.

Methods The SWOT analysis method was employed to comprehensively analyze the strengths, weaknesses, opportunities, and threats of applying AI to standardized residency training and teaching in the department of stomatology.

Results The Strengths of AI applications in standardized residency training and teaching in the department of stomatology included: personalization and diversification of teaching; interactivity of teaching and optimization of feedback. Weaknesses included: high technology costs; information quality concerns; and the risk of "information cocoons". Opportunities included: policy support and technological advancement; alignment with the trend of cultivating interdisciplinary compound talents; and meeting public health needs. Threats included: challenges to educational equity; ethical and legal challenges; and the risk of alienation in interpersonal interactions among teaching subjects.

Conclusion The application of AI technology in standardized residency training and teaching in the department of stomatology presents coexisting strengths and weaknesses. It requires joint efforts from the government, training bases, supervising teachers, and residents to fully leverage the advantages of AI while mitigating its disadvantages and potential negative impacts, thereby better serving the standardized residency training and teaching of the department of stomatology.

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