Patient (smoking, diabetes) and tooth-related factors (furcation involvement, increased probing depth, mobility) influence the prognosis of tooth retention in the long term. The identification of prognostic factors is of crucial importance to better predict the long-term survival of teeth and to adapt the treatment plan. All prognostic systems at the dental level showed excellent predictive capacity for the risk of tooth loss linked to periodontitis. An AI-based machine-learning algorithm will be a helpful tool for determining tooth prognosis.
Sarbacher et al. (Tue,) studied this question.
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