ArticleCureus2026
Perceptions of Ethical and Legal Challenges in Artificial Intelligence-Assisted Implant Dentistry Among Dentists: A Cross-Sectional Survey.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
6 authors.
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Abstract
introductionArtificial intelligence (AI) is being increasingly incorporated into implant dentistry for diagnostic assessment, treatment planning, and clinical decision support. However, its growing clinical application raises concerns regarding patient privacy, informed consent, transparency, accountability, and professional responsibility. The present study aimed to assess dentists' perceptions of the ethical and legal challenges associated with AI-assisted implant dentistry and evaluate their relationship with AI knowledge and professional characteristics. MATERIALS AND
methodsDental professionals participated in this cross-sectional questionnaire-based survey from March to August 2022. A validated survey was employed to evaluate professional and demographic traits, AI expertise, and ethical and legal attitudes. The 10 ethical and legal assertions were graded on a 5-point Likert scale, and the 10-item AI knowledge part was scored from 0 to 10, for a total score of 0-40. Cronbach's α = 0.86 indicated that the questionnaire had acceptable internal consistency. Descriptive statistics, multiple linear regression, one-way analysis of variance (ANOVA), and Pearson's correlation were used to examine the data; p < 0.05 was used to determine statistical significance.
resultsOf 138 dentists approached, 130 participated, yielding a response rate of 94.2%. The participants' mean age was 42.3 ± 7.1 years, and their mean clinical experience was 15.6 ± 5.8 years. The sample included 71 (54.6%) male dentists and 59 (45.4%) female dentists, of whom 50 (38.5%) reported previous AI exposure. The mean AI knowledge score was 5.8 ± 2.4, and the mean ethical and legal score was 27.6 ± 5.6. AI knowledge showed a significant negative correlation with ethical and legal concern (r = -0.482, p < 0.01). Multiple regression explained 37.5% of the variance in ethical and legal concern (R
conclusionGreater AI knowledge and previous exposure were associated with fewer ethical and legal concerns regarding AI-assisted implant dentistry. Structured AI education, appropriate regulatory frameworks, data protection, and clear professional accountability are essential for integrating AI into implant practice.
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