No es contra nosotros, es con nosotros
Reflexiones sobre la IA y el diagnóstico por imágenes
Resumen
Se reflexiona sobre el impacto, desafíos y oportunidades de la inteligencia artificial (IA) en la radiología, destacando su rol complementario y la importancia del juicio clínico y ético del radiólogo.
Citas
Lecturas sugeridas
European Society of Radiology (ESR). What the radiologist should know about artificial intelligence – an ESR white paper. Insights into Imaging. 2019;10(1):44. doi: 10.1186/s13244-019-0738-2
Radiological Society of North America (RSNA). Artificial Intelligence in Radiology: Challenges, Opportunities, and Ethical Considerations. Radiology. 2020;294(3): 487–493. doi: 10.1148/radiol.2019192527
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine. 2019;25(1):44–56. doi: 10.1038/s41591-018-0300-7
Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine. 2019;17:195. doi: 10.1186/s12916-019-1426-2
Langlotz CP, Allen B, Erickson BJ, et al. A roadmap for foundational research on artificial intelligence in medical imaging: From the Society of Imaging Informatics in Medicine (SIIM). Journal of the American College of Radiology. 2019;16(4): 673–680. doi: 10.1016/j.jacr.2018.12.028
Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nature Reviews Cancer. 2018;18(8):500–510. doi: 10.1038/s41568-018-0016-5
Lindholm P, et al. Artificial intelligence in radiology: friend or foe? Acta Radiologica. 2022;63(5): 597–604. doi: 10.1177/02841851211062234
World Health Organization (WHO). Ethics and governance of artificial intelligence for health. Geneva: WHO; 2021.
Pesapane F, Codari M, Sardanelli F. Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. European Radiology Experimental. 2018;2:35. doi: 10.1186/s41747-018-0061-6
Van Leeuwen KG, Schalekamp S, Rutten MJCM, et al. Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. European Radiology. 2021;31:3797–3804. doi: 10.1007/s00330-020-07601-7
European Society of Radiology (ESR). What the radiologist should know about artificial intelligence – an ESR white paper. Insights into Imaging. 2019;10(1):44. doi: 10.1186/s13244-019-0738-2
Radiological Society of North America (RSNA). Artificial Intelligence in Radiology: Challenges, Opportunities, and Ethical Considerations. Radiology. 2020;294(3): 487–493. doi: 10.1148/radiol.2019192527
Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nature Medicine. 2019;25(1):44–56. doi: 10.1038/s41591-018-0300-7
Kelly CJ, Karthikesalingam A, Suleyman M, Corrado G, King D. Key challenges for delivering clinical impact with artificial intelligence. BMC Medicine. 2019;17:195. doi: 10.1186/s12916-019-1426-2
Langlotz CP, Allen B, Erickson BJ, et al. A roadmap for foundational research on artificial intelligence in medical imaging: From the Society of Imaging Informatics in Medicine (SIIM). Journal of the American College of Radiology. 2019;16(4): 673–680. doi: 10.1016/j.jacr.2018.12.028
Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nature Reviews Cancer. 2018;18(8):500–510. doi: 10.1038/s41568-018-0016-5
Lindholm P, et al. Artificial intelligence in radiology: friend or foe? Acta Radiologica. 2022;63(5): 597–604. doi: 10.1177/02841851211062234
World Health Organization (WHO). Ethics and governance of artificial intelligence for health. Geneva: WHO; 2021.
Pesapane F, Codari M, Sardanelli F. Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. European Radiology Experimental. 2018;2:35. doi: 10.1186/s41747-018-0061-6
Van Leeuwen KG, Schalekamp S, Rutten MJCM, et al. Artificial intelligence in radiology: 100 commercially available products and their scientific evidence. European Radiology. 2021;31:3797–3804. doi: 10.1007/s00330-020-07601-7
Publicado
2026-04-16
Como citar
SGARBI, Nicolás.
No es contra nosotros, es con nosotros.
Revista de Imagenología, [S.l.], v. 28, n. 1, apr. 2026.
Disponible en: <https://sriuy.org.uy/ojs/index.php/Rdi/article/view/157>. Fecha de acceso: 21 apr. 2026
Número
Sección
Editorial
