Publication: Evaluación de la fiabilidad del programa basado en Inteligencia Artificial Denti.Ai para la identificación de estructuras y tratamientos dentarios presentes en radiografías panorámicas.
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2021
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Abstract
Introducción
La implantación de protocolos digitales, incluidos herramientas de Inteligencia artificial en el ámbito odontológico ha supuesto una completa revolución en la rutina diaria de los clínicos dedicados a la profesión. Actualmente, el uso de softwares que complementan el diagnóstico clínico realizado por el profesional están siendo cada vez más desarrollados e implementados en la rutina diaria.
Objetivo
Evaluar la capacidad de diagnostico del programa basado en inteligencia artificial “Denti.Ai” en relación a las estructuras y tratamientos dentarios presentes en ortopantomografías (OPGs).
Material y Método
Un total de 300 radiografías panorámicas (OPG) de pacientes adultos fueron aleatoriamente seleccionadas y utilizadas para la consecución de este estudio. Las imágenes fueron analizadas manualmente por dos operadores con experiencia en radiodiagnóstico, indicando y clasificando las piezas dentarias (Nomenclatura FDI) y tratamientos presentes en ellas (obturaciones metálicas, RM; obturaciones plásticas, RP; Tratamiento de Conductos, TC; Coronas, C; Implantes, IOI). En el caso de discrepancia en el diagnóstico un 3 evaluador tomó parte en la decisión final. Posteriormente las imágenes fueron cargadas y analizadas por el software Denti.Ai. Los resultados fueron registrados y analizados mediante la realización de un estudio estadístico basado en la utilización de estadística descriptiva, realización de pruebas diagnósticas: sensibilidad (S), especificidad (E), valor predictivo positivo (VPP), valor predictivo negativo (VPN) del programa Denti.Ai, y su posterior representación en Curvas de Roc; y pruebas de concordancia.
Resultados
El programa Denti.Ai es capaz de identificar correctamente las estructuras dentarias en el 69.3% de los casos, obteniendo errores de diversas categorías en 30.7% restante. Su precisión diagnóstica para la detección de tratamientos dentarios es de 41.11% para restauraciones plásticas, 85.48% para restauraciones metálicas, 91.9% para tratamientos de conductos, 89.53% para coronas y 100% para implantes osteointegrados. La concordancia obtenida entre el Gold Standard y el programa fue siempre superior al 0.90.
Conclusiones
Denti.Ai puede considerarse un software cuyas tareas permiten dar soporte y asistencia al profesional odontólogo en procesos de diagnóstico, prevención y pronóstico dentarios. Mayor número de estudios implicados en la capacidad diagnóstica del programa deberían ser desarrollados con el fin de mejorar el desempeño del mismo.
Description
Trabajo de Fin de Máster en Ciencias Odontológicas, Facultad de Odontología UCM, Departamento de Odontología Conservadora y Prótesis, Curso 2020/2021
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