Diseño de Prótesis Fijas Dentosoportadas mediante Inteligencia Artificial: Revisión Sistemática

Autores/as

  • Gisele Lie Fukuoka DDS, Postgraduate student, Department of Prosthodontics, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil https://orcid.org/0000-0002-3145-0210
  • Claudia Sanae Akita Shimoide Muraoka DDS, Postgraduate student, Department of Prosthodontics, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil https://orcid.org/0009-0008-2268-848X
  • Gislene Gomes de Oliveira Vieira DDS, Postgraduate student, Department of Prosthodontics, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil
  • Newton Sesma DDS, PhD, Professor, Department of Prosthodontics, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil
  • Márcio Katsuyoshi Mukai DDS, PhD, Professor, Department of Prosthodontics, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil
  • Emily Vivianne Freitas da Silva DDS, PhD, Professor, Department of Prosthodontics, School of Dentistry, University of São Paulo (USP), São Paulo, Brazil https://orcid.org/0000-0002-0164-1788

DOI:

https://doi.org/10.21270/archi.v15i2.6754

Palabras clave:

Inteligencia artificia, Diseño asistido por computadora, Corona dental, Diseño de prótesis dental, Adaptación interna dental

Resumen

Objetivo: Evaluar sistemáticamente el desempeño del software basado en inteligencia artificial (IA) en el diseño digital de prótesis fijas dentosoportadas en comparación con restauraciones realizadas por técnicos dentales. Materiales y Métodos: Se realizaron búsquedas en MEDLINE/PubMed, EMBASE, Web of Science y Scopus hasta marzo de 2024, con revisión manual de referencias. Se incluyeron estudios clínicos e in vitro que compararon directamente coronas digitales generadas por IA y por técnicos. Dos revisores extrajeron los datos y evaluaron la calidad mediante la herramienta QUIN. Cuando fue posible, los resultados se agruparon con modelos de efectos aleatorios y la heterogeneidad se analizó con el estadístico I². Resultados: De 1.417 registros, cuatro estudios cumplieron los criterios de inclusión. No se observaron diferencias significativas entre los flujos de trabajo en el tiempo de diseño de coronas (DM –7,79; IC 95% –22,92 a 7,34; P = 0,31), la morfología oclusal (DM –1,02; IC 95% –4,57 a 2,52; P = 0,57) ni la adaptación interna (DM –0,10; IC 95% –1,64 a 1,45; P = 0,90). Las coronas generadas por IA mostraron un ángulo cuspídeo funcional más consistente (DM 0,52; IC 95% 0,19 a 0,85; P = 0,002). Se observó alta heterogeneidad (I² > 96%). Conclusión: El diseño asistido por IA presenta un desempeño comparable al de técnicos experimentados y posibles ventajas morfológicas específicas; sin embargo, se requieren estudios clínicos estandarizados.

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Publicado

2026-02-28

Cómo citar

Fukuoka, G. L., Muraoka, C. S. A. S., Vieira, G. G. de O., Sesma, N., Mukai, M. K., & Silva, E. V. F. da. (2026). Diseño de Prótesis Fijas Dentosoportadas mediante Inteligencia Artificial: Revisión Sistemática. ARCHIVES OF HEALTH INVESTIGATION, 15(2), e6754. https://doi.org/10.21270/archi.v15i2.6754

Número

Vol. 15 Núm. 2 (2026)

Sección

Original Articles