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Updated: Jul 17, 2026

In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
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Integración de la Experiencia Humana con Modelos de Inteligencia Artificial (IA) para la Cuantificación de Líquido y

Bakhtawar Awan1, Mohamed Elsaigh2, Mohamed Hesham Gamal3,4

  • 1General Surgery, Northwick Park Hospital, London, GBR.

Cureus
|December 30, 2025
PubMed
Resumen

Los flujos de trabajo híbridos de IA y clínicos mejoran la cuantificación de patologías retinianas en escaneos de tomografía de coherencia óptica (OCT). Estos enfoques combinados mejoran la precisión y la eficiencia, ayudando en el tratamiento personalizado y la investigación a gran escala.

Palabras clave:
inteligencia artificialredes neuronales convolucionales (cnn)aprendizaje profundooct (tomografía de coherencia óptica)patologíalíquido retinianorevisión sistemáticau-net

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