CONE BEAM COMPUTED TOMOGRAPHY AND ARTIFICIAL INTELLIGENCE. ¿WHERE WE ARE?

• Autor: Dias da Silveira, Heraldo Luís
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Universidad Científica del Sur
• Repositorio: Revistas - Universidad Científica del Sur
• Lenguaje: inglés
• OAI Identifier: oai:revistas.cientifica.edu.pe:article/2109
• Enlace del recurso: https://revistas.cientifica.edu.pe/index.php/odontologica/article/view/2109
• Nivel de acceso: acceso abierto
• Materia: artificial intelligence; Cone beam computed tomography

In recent years we have seen a huge number of papers presenting the different possibilities for artificial intelligence (AI) in dentistry. Within the next decade, AI will transform the workflow of modern dental practice. Additionally, AI tools can enable healthcare professionals to increase their reliability, effectiveness, and usefulness, nonetheless potential limitations and errors. (1)Systematic reviews concerning artificial intelligence for radiographic imaging detection of caries lesions concluded that AI-based models exhibit good diagnostic performance. AI provides comprehensive, reliable, and accurate image assessment and disease detection, thus facilitating effective and efficient diagnosis and improving the prognosis of dental caries in periapical radiographs. However, the various AI models come with their own set of pros and cons, so the selection of a model should be based on the specific task objectives and requirements. (2, 3) Accordingly, research projects should be meticulously designed to detect the trueperformance of AI models.