Revisión sistemática exploratoria : diagnóstico asistido por computadora con uso de inteligencia artificial en imagenología maxilofacial
Cargando...
Archivos
Fecha
2020
Profesor/a Guía
Facultad/escuela
Idioma
es
Título de la revista
ISSN de la revista
Título del volumen
Editor
Universidad Andrés Bello
Nombre de Curso
Licencia CC
Licencia CC
Resumen
Objetivo: Explorar el uso y viabilidad de la Inteligencia Artificial en el campo de la Imagenología Maxilofacial (u odontología) ante la incorporación de la era digital a la práctica clínica. Demostrar si la literatura disponible la califica como un método realmente efectivo. Materiales y métodos: Revisión Sistémica Exploratoria. Estudios en inglés publicados en Bases de datos EBSCO, PubMed, y World of Science, con un algoritmo de búsqueda para identificar artículos que relacionen el uso de Inteligencia e Imagenología Maxilofacial de los últimos 10 años, en detección de patologías relacionadas al área maxilofacial (caries y quistes). La búsqueda fue realizada en julio de 2020 y los trabajos fueron seleccionados valorando su capacidad de responder a la pregunta de investigación planteada. Resultados: Se espera encontrar un avance en detección de lesiones del territorio maxilofacial con sistemas de Diagnostico Asistido por Computadora basadas en algún tipo de Inteligencia Artificial. Conclusiones: Los resultados obtenidos en el presente estudio han permitido revisar que la evidencia disponible sobre diagnostico asistido por computadora en sistemas basados en inteligencia artificial presentan sensibilidad y especificidad similar a la de clínicos experimentados en algunos casos, sin embargo, tampoco se puede depender solo de estas aplicaciones inteligentes ya que se detectó que existen factores que afectan este desempeño.
Objective: To explore the use and viability of Artificial Intelligence in the field of Maxillofacial Imaging (or dentistry) before the incorporation of digital age into clinical. Demonstrate if the available literature qualifies it as an effective method. Materials and methods: Scoping Review. Studies in English published in EBSCO, PubMed, and World of Science databases, with a search algorithm to identify articles that relate the use of Intelligence and Maxillofacial Imaging of the last 10 years, in the detection of pathologies related to the maxillofacial area (caries and cysts). The search was carried out in July 2020 and the papers were selected evaluating their ability to answer the research question posed. Results: It is expected to find an advance in the detection of lesions of the maxillofacial territory with Computer Aided Diagnosis systems based on some type of Artificial Intelligence. Conclusions: The results obtained in the present study have allowed us to review that the available evidence on computer-assisted diagnosis in systems based on artificial intelligence presents sensitivity and specificity like experienced clinicians in some cases, however, it is not possible to depend only on these intelligent applications since it was found that there are methods that affect this performance.
Objective: To explore the use and viability of Artificial Intelligence in the field of Maxillofacial Imaging (or dentistry) before the incorporation of digital age into clinical. Demonstrate if the available literature qualifies it as an effective method. Materials and methods: Scoping Review. Studies in English published in EBSCO, PubMed, and World of Science databases, with a search algorithm to identify articles that relate the use of Intelligence and Maxillofacial Imaging of the last 10 years, in the detection of pathologies related to the maxillofacial area (caries and cysts). The search was carried out in July 2020 and the papers were selected evaluating their ability to answer the research question posed. Results: It is expected to find an advance in the detection of lesions of the maxillofacial territory with Computer Aided Diagnosis systems based on some type of Artificial Intelligence. Conclusions: The results obtained in the present study have allowed us to review that the available evidence on computer-assisted diagnosis in systems based on artificial intelligence presents sensitivity and specificity like experienced clinicians in some cases, however, it is not possible to depend only on these intelligent applications since it was found that there are methods that affect this performance.
Notas
Trabajo de titulación (Cirujano Dentista)
Palabras clave
Diagnóstico por Imagen, Técnicas Digitales, Ayuda con computadores, Salud Bucal, Inteligencia Artificial, Efectividad, Chile