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Innovaciones basadas en la inteligencia artificial en la radioterapia: aumentar la eficiencia y la eficacia
Junyi Chen1, Xinlin Zhu1, Jian-Yue Jin2
1State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China.
Medical review (2021)
|August 21, 2025
Resumen
La inteligencia artificial (IA) y los gemelos digitales de radioterapia (RDTs) están revolucionando el tratamiento del cáncer. Estas tecnologías mejoran la eficiencia y personalizan la atención, haciendo que la radioterapia sea más accesible y efectiva a nivel mundial.
Área de la Ciencia:
- Oncología y Física Médica
- Inteligencia artificial en el cuidado de la salud
- Optimización de la radioterapia
Sus antecedentes:
- La incidencia del cáncer está aumentando en todo el mundo, aumentando la demanda de tratamientos efectivos.
- La radioterapia (RT) es una piedra angular de la atención del cáncer, pero se enfrenta a desafíos en la eficiencia y la asignación de recursos.
- Existe una necesidad crítica de mejorar la velocidad y la eficacia de la entrega de la tecnología de la información.
Objetivo del estudio:
- Demostrar cómo la Inteligencia Artificial (IA) mejora la eficiencia de la radioterapia, en particular en la delineación de objetivos y la planificación del tratamiento.
- Introducir el concepto de RT todo en uno para mejorar la eficiencia del flujo de trabajo.
- Presentar los gemelos digitales de radioterapia (GDR) como una herramienta para el tratamiento personalizado y la evaluación de la eficacia.
Principales métodos:
- Revisión y perspectiva de la integración de la IA en los procesos de RT.
- Conceptualización de los flujos de trabajo de RT todo en uno.
- Exploración de RDT utilizando datos específicos del paciente y la IA para la medicina de precisión.
Principales resultados:
- La IA mejora significativamente la eficiencia en tareas de RT que consumen mucho tiempo, como la delineación de objetivos y la planificación de tratamientos.
- La RT todo en uno ofrece una vía potencial para aumentar sustancialmente la eficiencia general de la RT.
- Las TDR facilitan estrategias de tratamiento personalizadas y una evaluación sólida de los resultados terapéuticos.
Conclusiones:
- La IA y las TDR están preparadas para transformar la radioterapia contra el cáncer, mejorando tanto la eficiencia como la precisión.
- Estas tecnologías avanzadas prometen hacer que la RT sea más accesible y eficaz en todo el mundo.
- La integración de la IA y los gemelos digitales representa un salto significativo en la atención oncológica.
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