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El sesgo de automatización y el exceso de confianza en la inteligencia artificial y las implicaciones legales
1Yale School of Medicine, Department of Diagnostic Radiology and Biomedical Imaging, 333 Cedar Street, TE2, New Haven, CT 06520, United States of America.
Clinical imaging
|February 11, 2026
Resumen
Los radiólogos pueden desarrollar un exceso de confianza en las herramientas de inteligencia artificial (IA), lo que lleva a un sesgo de automatización y posibles problemas legales. Este artículo ofrece estrategias para que los radiólogos mitiguen estos riesgos y gestionen la responsabilidad a medida que la IA se integra más en la práctica clínica.
Área de la Ciencia:
- Imágenes médicas de imágenes médicas.
- La inteligencia artificial en la medicina.
Sus antecedentes:
- Los algoritmos de inteligencia artificial (IA) se utilizan cada vez más en la práctica clínica.
- Los radiólogos pueden enfrentarse a un exceso de confianza o sesgo de automatización al usar herramientas de IA.
Objetivo del estudio:
- Para abordar el potencial de exceso de confianza y sesgo de automatización en los radiólogos que utilizan IA.
- Proporcionar recomendaciones para mitigar el sesgo y limitar la responsabilidad legal asociada con la IA en radiología.
Principales métodos:
- Revisión de la literatura actual sobre IA en radiología y sesgos cognitivos.
- Desarrollo de recomendaciones prácticas para radiólogos.
Principales resultados:
- La excesiva dependencia de la IA puede conducir a errores de diagnóstico.
- La confianza equivocada en la IA tiene implicaciones legales significativas para los radiólogos.
Conclusiones:
- Los radiólogos deben moderar activamente los sesgos al usar herramientas de IA.
- La implementación de estrategias para gestionar los riesgos relacionados con la IA es crucial para limitar la responsabilidad y garantizar la seguridad del paciente.
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