Precisión del análisis radiográfico mediante el software con inteligencia artificial en pacientes atendidos en la clínica de endodoncia UCSG A 2024.

Abstract

Introduction: Artificial intelligence refers to performing tasks with the help of machines and technology. With advances in science and technology, there have been advances in the application of AI in dentistry. AI can be useful in detecting dental caries and making diagnoses in endodontics. Objective: To measure the accuracy of radiographic analysis using artificial intelligence software in patients treated at the UCSG A 2024 Endodontic Clinic. Materials and methods: A data record sheet was generated with the variables to be studied, then panoramic or periapical radiographs were collected from the endodontic clinic and a survey was conducted with the students. Results: The diagnosis of grade 3 caries had a 34.26% accuracy using the AI software. It also detected that 71.30% of the radiographs had leaky restorations. Previous endodontics was analyzed by the presence or absence of pulp tissue. AI resulted in 47.22%% of dental organs having absence of pulp tissue. Finally, the presence of periapical radiolucency was evaluated. It was found that AI detected 62.96% of periapical lesions. Conclusion: It can be concluded that the use of artificial intelligence in endodontic diagnosis shows correct accuracy and is a very helpful tool.