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Updated: Feb 26, 2026
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
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Inteligencia artificial en nefrología pediátrica: aplicaciones actuales y marcos emergentes para la generación de
Giovanni Pellegrino1, Giovanni F M Strippoli2,3
1Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE-J), University of Bari Aldo Moro, Bari, Italy.
Pediatric nephrology (Berlin, Germany)
|February 25, 2026
Resumen
La inteligencia artificial (IA) ofrece nuevas formas de mejorar la investigación en nefrología pediátrica al abordar desafíos como los pequeños grupos de pacientes y las enfermedades raras. La IA puede mejorar el diagnóstico, predecir resultados y personalizar tratamientos para niños con afecciones renales.
Sus antecedentes:
- La nefrología pediátrica enfrenta obstáculos de investigación debido a enfermedades raras, cohortes de pacientes pequeñas y consideraciones éticas.
- Los ensayos clínicos tradicionales a menudo no son prácticos para las enfermedades renales pediátricas, lo que genera lagunas de evidencia.
Conclusiones:
- La IA sirve como un complemento valioso para la investigación clínica convencional en nefrología pediátrica.
- La IA tiene una promesa significativa para mejorar la precisión, la inclusividad y la oportunidad de la generación de evidencia para niños.
- Se deben abordar consideraciones éticas, regulatorias y de equidad específicas de las poblaciones pediátricas para la implementación de la IA.
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