Artificial intelligence in emergency radiology: greater speed and better accuracy.

Authors

  • Martina Huerta Sotelo Estudiante de Medicina de la Universidad de Barcelona https://orcid.org/0009-0003-7855-8047
  • Jordi Delás Servicio de Medicina Interna. Hospital Universitari Sagrat Cor, Grupo Quirónsalud, Barcelona, España.
Keywords: Inteligencia artifical, Radiologia, Radiología de Urgencias, Educación médica

Abstract

Se trata de una carta al director respondiendo a un artículo publicado en la revista sobre la inteligencia artificial como herramienta de estandarización de informes radiológicos en urgencias. 

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References

1. García Hidalgo C, Consentino Hernández JA, Cayuela Espí JV, Pagán Vicente G, Plasencia Martínez JM, Blanco Barrio A, et al. Informe radiológico estructurado asistido por modelos de lenguaje en residentes de Radiología: piloto de implementación en Urgencias. Rev Esp Edu Med. 2026, 7(1), 695571. https://doi.org/10.6018/edumed.695571

2. Busch F, Hoffmann L, Dos Santos DP, Makowski MR, Saba L, Prucker P, et al. Large language models for structured reporting in radiology: past, present, and future. Eur Radiol 2025, 35(5), 2589-2602. https://doi.org/10.1007/s00330-024-11107-6

3. Mallio CA, Sertorio AC, Bernetti C, Beomonte Zobel B. Large language models for structured reporting in radiology: performance of GPT-4, ChatGPT-3.5, Perplexity and Bing. Radiol Med. 2023, 128(7), 808-812. https://doi.org/10.1007/s11547-023-01651-4

Published
01-06-2026
How to Cite
Huerta Sotelo, M., & Delás, J. (2026). Artificial intelligence in emergency radiology: greater speed and better accuracy. Spanish Journal of Medical Education, 7(4). Retrieved from https://revistas.um.es/edumed/article/view/715531
Issue
Vol. 7 No. 4 (2026): Spanish Journal of Medical Education
Section
Letters to Director

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