Predictive appendicitis scale for children under 4 years of age : Is it possible to apply artificial intelligence?
Acute appendicitis in the pediatric population is a pathology of heterogeneous presentation that is currently diagnosed using various criteria or predictive scales, which have proven not to be sufficiently accurate to be standardized, however, methods have been created to establish a more accurate d...
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| Autores principales: | , , |
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| Formato: | Artículo revista |
| Lenguaje: | Español |
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Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2024
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| Materias: | |
| Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/44316 |
| Aporte de: |
| Sumario: | Acute appendicitis in the pediatric population is a pathology of heterogeneous presentation that is currently diagnosed using various criteria or predictive scales, which have proven not to be sufficiently accurate to be standardized, however, methods have been created to establish a more accurate diagnosis, an aspect that has been provided by artificial intelligence, which through different algorithms has the ability to show the patient's condition and the most appropriate intervention for this, thus reducing the rate of unnecessary interventions and therefore possible related complications. |
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