Machine Learning–Based Prediction of Treatment Success, Postoperative Pain, and Analgesic Use After Full Pulpotomy in Permanent Molars with Symptomatic Irreversible Pulpitis

2026-05-29

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Ecem Karakoyunlu

Gubina Mıdoglu

Kübra Gürler

Koray Yılmaz *

DOI：10.1016/j.joen.2026.05.009

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This study aimed to develop and evaluate machine learning (ML) models for predicting treatment success, postoperative pain, and analgesic use following full pulpotomy (FP) in permanent molars with symptomatic irreversible pulpitis (SIP).

Keywords:

Machine Learning

Full Pulpotomy

Symptomatic Irreversible Pulpitis

Treatment Success

Postoperative Pain

Machine Learning–Based Prediction of Treatment Success, Postoperative Pain, and Analgesic Use After Full Pulpotomy in Permanent Molars with Symptomatic Irreversible Pulpitis

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