Clinical Trial: Predicting Local Anesthetic Success in Symptomatic Irreversible Pulpitis: A Machine Learning Study

U.S., June 30 -- ClinicalTrials.gov registry received information related to the study (NCT07672678) titled 'Predicting Local Anesthetic Success in Symptomatic Irreversible Pulpitis: A Machine Learning Study' on June 22.

Brief Summary: This study will develop and internally validate three machine learning models - logistic regression, random forest, and XGBoost - to predict local anesthetic (LA) success in patients undergoing endodontic treatment for symptomatic irreversible pulpitis (SIP). A large retrospective cohort of 4,390 consecutive adult patients treated at a single center (May 2014-October 2025) is being analyzed. The dataset was frozen in October 2025 for this analysis.

Study Start Date: May 01, 2014

Study Type: OBSERVATIONAL ...