ArticleThe Angle orthodontist2026
Comparative evaluation of ChatGPT and Gemini artificial intelligence in patient education on clear aligner therapy.
Article in The Angle orthodontist, 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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5 authors.
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Abstract
Objectives: To compare the performance of ChatGPT-4 Turbo and Gemini 1.5 Pro in the domain of Clear Aligner Therapy (CAT). Materials and Methods: A total of 36 standardized questions on CAT were created based on consent forms from aligner companies and frequently asked patient questions. Responses were generated by ChatGPT-4 Turbo and Gemini 1.5 Pro. A reference answer key was developed from current literature. Two orthodontic professors independently evaluated the responses using a six-point accuracy scale and a three-point completeness scale. Questions were also categorized by topic. Readability was assessed using Flesch-Kincaid Grade Level (FKGL) and Simplified Measure of Gobbledygook (SMOG) scores. Independent samples t-tests were used to compare readability, whereas the Mann-Whitney U test was used for accuracy and completeness. Interrater reliability was assessed with intraclass correlation coefficient (ICC). Significance was set at P < .05. Results: Interrater reliability was high for both models. ChatGPT showed excellent agreement for accuracy (ICC = 0.91) and good for completeness (ICC = 0.89). Gemini also showed excellent accuracy (ICC = 0.93) and moderate-to-good completeness (ICC = 0.78). No significant differences were found between models in accuracy, completeness, or readability. Both produced content with FKGL scores indicating university-level reading and SMOG scores suggesting high school-level comprehension. Conclusions: The readability of the content may present challenges for general audiences due to its complexity. The models used in this study may assist in patient education; however, the results implied the importance of professional consultation and careful interpretation of artificial intelligence-generated information.
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