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Detección de calcificaciones y osificaciones de tejidos blandos mediante inteligencia artificial asistida en CBCT

Lokman Cin¹, Rabia Duman Tepe², Erol Cansız³

¹Faculty of Dentistry, Department of Oral and Maxillofacial Radiology, Van Yuzuncu Yıl University, Van, Turkey; Department of Oral and Maxillofacial Radiology, Institute of Graduate Studies in Health Sciences, Istanbul University, Istanbul, Turkey.

Oral surgery, oral medicine, oral pathology and oral radiology

|January 15, 2026

Resumen

Un sistema de inteligencia artificial (IA) demostró una alta precisión en la detección de calcificaciones y osificaciones de tejidos blandos (STCO) en escaneos de tomografía computarizada de haz cónico (CBCT). La IA tuvo el mejor rendimiento en tareas de clasificación de una sola clase, mejorando la eficiencia diagnóstica.

Sus antecedentes:

Las calcificaciones y osificaciones de tejidos blandos (STCO) son hallazgos comunes en la tomografía computarizada de haz cónico (CBCT).
La detección y clasificación precisas de las STCO son cruciales para el diagnóstico y la planificación del tratamiento.
La integración de la inteligencia artificial (IA) puede mejorar potencialmente la interpretación de datos de imagen complejos.

Conclusiones:

El sistema de IA desarrollado muestra una alta precisión diagnóstica para la detección de STCO en CBCT.
La clasificación de una sola clase por la IA arrojó un rendimiento superior en comparación con la clasificación multiclase.
El análisis de CBCT asistido por IA es prometedor para mejorar la eficiencia diagnóstica, la colaboración interdisciplinaria y la toma de decisiones clínicas.

Palabras clave:

Inteligencia artificial Tomografía computarizada de haz cónico Calcificaciones de tejidos blandos Osificaciones de tejidos blandos Diagnóstico asistido por IA

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