Keywords
dental treatment outcomes
prediction
healthcare
How to Cite
Abstract
Machine learning (ML) techniques have shown promise in various healthcare applications, including dentistry. This paper evaluates the use of ML approaches for predicting treatment outcomes in dental procedures. We review different ML algorithms and their applications in dental treatment outcome prediction, discussing the advantages, limitations, and challenges. The goal is to provide insights into how ML can enhance treatment planning and decision-making in dentistry, ultimately improving patient care and outcomes.
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