Accuracy and readability of artificial intelligence models in providing orthodontic retention related information: A cross-sectional study - Summary - DentalSpire
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Accuracy and readability of artificial intelligence models in providing orthodontic retention related information: A cross-sectional study
To evaluate the reliability of orthodontic retention information produced by different AI-based programs in terms of accuracy, relevance, and readability, as assessed by consultant orthodontists.
Key Findings:
AI systems can provide generally accurate information, but reliability and readability vary significantly across models and clinical topics.
The quality of information regarding orthodontic retention must be carefully evaluated to ensure reliability and alignment with clinical best practices.
Interpretation:
Limitations:
Ethical approval was not necessary, which may limit the generalizability of findings.
The study only evaluated the first draft responses from Gemini, which may not represent the full capabilities of the model.
