Predicting Success of Full Pulpotomy Using AI and Pulpitis Severity in Mature Permanent Molars with Irreversible Pulpitis

What this Trial Is About

Researchers are evaluating how certain factors like the severity of pulpal inflammation, carious pulp exposure, and apical periodontitis affect the success of full pulpotomy in mature permanent molars diagnosed with irreversible pulpitis. The study also explores how artificial intelligence AI can assist in predicting the treatment outcome using pre-operative X-rays. This is a randomized controlled trial conducted by Misr International University to compare treatments and diagnostic methods. Participants will be randomly assigned to receive either full pulpotomy or conventional root canal treatment, the standard care for irreversible pulpitis. Full pulpotomy involves removing caries, preparing the access cavity, achieving hemostasis, applying bioceramic material, and sealing the cavity with a glass ionomer restoration. Both groups will be monitored with clinical and radiographic evaluations at 1, 3, and 6 months after treatment. The AI software will analyze pre-operative X-rays to detect carious pulp exposure and apical periodontitis, and its diagnostic accuracy will be compared to clinical findings. During the study, patients will have pre-operative assessments including pulp status classification and digital radiographs to evaluate caries depth and apical periodontitis. Follow-up visits at 1, 3, and 6 months will assess the percentage of successful cases based on clinical and radiographic criteria. The AIs sensitivity and specificity in detecting pulp exposure will also be measured on the day of the procedure. This study lasts at least 6 months after treatment and includes safety monitoring through regular follow-ups.

The Role of the Pre-operative Condition and Artificial Intelligence-Assisted Diagnosis in Predicting the Success of Full Pulpotomy in Symptomatic Permanent Mature Molars