Predicting patient satisfaction in digital orthodontics using a KAC based model integrating AI support and risk stratification.

A significant trend was observed across groups (χ 2 trend test, P < 0.001), confirming the discriminative capacity of the tertile-based stratification approach 17 .

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Although patients treated with aligners showed slightly higher odds of reporting high satisfaction (OR = 1.24, 95% CI: 0.88–1.74, P = 0.21), this association did not reach statistical significance, indicating that the predictive value of the KAC dimensions was consistent across digital treatment modalities.Full regression results are presented in Table 3 .

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