Echocardiography as a global tool: ideas after 50 years of life in our Spanish-speaking world.
DOI:
https://doi.org/10.37615/retic.v8n3a1Keywords:
echocardiogram, development of the echocardiogram, future of the echocardiogramAbstract
In 2025, echocardiography will celebrate its 50th birthday as a diagnostic technique in the Spanish-speaking world. This article reviews its role as a basic tool in the evaluation of cardiovascular pathology, its profound impact on the development of modern cardiology, the challenges posed by training and access to new tools and the spectacular development expected with the application of Artificial Intelligence
Downloads
Metrics
References
Fraleigh, C. D., et al. Point-of-care ultrasound: An emerging clinical tool to enhance physical assessment. Nurse Pract 2022 Jul 26;47(8):14–20. doi: https://doi.org/10.1097/01.NPR.0000841944.00536.b2 DOI: https://doi.org/10.1097/01.NPR.0000841944.00536.b2
Hashim, A., et al. The utility of point of care ultrasonography (POCUS). Ann Med Surg (Lond). 2021 Nov 2;71:102982. doi: https://doi.org/10.1016/j.amsu.2021.102982 DOI: https://doi.org/10.1016/j.amsu.2021.102982
Price S, Via G, Sloth E, Guarracino F, Breitkreutz R, Catena E, et al. Echocardiography practice, training and accreditation in the intensive care: document for the world interactive network focused on critical ultrasound (WINFOCUS). Cardiovasc Ultrasound. 208;6:49. doi: https://doi.org/10.1186/1476-7120-6-49 DOI: https://doi.org/10.1186/1476-7120-6-49
Bonde MT, Makransky G, Wandall J, Larsen MV, Morsing M, Jarmer H, et al. Improving biotech education through gamified laboratory simulations. Nature Biotech. 2014;32:694-7. doi: https://doi.org/10.1038/nbt.2955 DOI: https://doi.org/10.1038/nbt.2955
M. Rodríguez-Santamarta, C. Minguito-Carazo, J.C. Echarte-Morales, et al. Echocardiographic findings in critical patients with COVID-19. Rev Esp Cardiol (Engl Ed). 2020 Oct;73(10):861-863. doi: https://doi.org/10.1016/j.rec.2020.06.030 DOI: https://doi.org/10.1016/j.rec.2020.06.030
Unger ED, Rigolin VH. A wave of change in medical school education. J Am Soc Echocardiog 2018; 31: 761-762. doi: https://doi.org/10.1016/j.echo.2018.05.002 DOI: https://doi.org/10.1016/j.echo.2018.05.002
Decara JM, Kirkpatrick JN, Spencer KT, et al. Use of hand-carried ultrasound devices to augment the accuracy of medical student bedside cardiac diagnoses. J Am Soc Echocardiogr. 2005; 18: 257-263. doi: https://10.1016/j.echo.2004.11.015 DOI: https://doi.org/10.1016/j.echo.2004.11.015
Johri AM, Durbin J, Newbigging J, et al. Cardiac point-of-care ultrasound: state-of-the-art in medical school education. J Am Soc Echocardiogr. 2018; 31: 749-760. doi: https://10.1016/j.echo.2018.01.014 DOI: https://doi.org/10.1016/j.echo.2018.01.014
Arntfield RT, Millington SJ. Point of care cardiac ultrasound applications in the emergency department and intensive care unit–a review. Curr Cardiol Rev 2012; 8(2): 98-108. doi: https://10.2174/157340312801784952 DOI: https://doi.org/10.2174/157340312801784952
Cardim N, Fernandez Golfin C, Ferreira D, Aubele A, Toste J, Cobos MA, et al. Usefulness of a new miniaturized echocardiographic system in outpatient cardiology consultations as an extension of physical examination. J Am Soc Echocardiogr 2011; 24(2): 117-24. doi: https://10.1016/j.echo.2010.09.017 DOI: https://doi.org/10.1016/j.echo.2010.09.017
Prinz C, Voigt JU. Diagnostic accuracy of a hand‐held ultrasound scanner in routine patients referred for echocardiography. J Am Soc Echocardiogr 2011; 24(2): 111-6. doi: https://10.1016/j.echo.2010.10.017 DOI: https://doi.org/10.1016/j.echo.2010.10.017
Ouyang D, He B, Ghorbani A, Langlotz CP, Heidenreich PA, Harrington RA, Liang DH, Ashley EA, Zou JY. Video-based artificial intelligence for beat-to-beat assessment of cardiac function. Nature 2020 Apr;580(7802):252-256. doi: https://10.1038/s41586-020-2145-8 DOI: https://doi.org/10.1038/s41586-020-2145-8
Duffy G, Cheng PP, Yuan He, Kwan AC, Shun-Shin MJ, Alexander KM, Ebinger J, Lungren MP et al. High-Throughput Precision Phenotyping of Left Ventricular Hypertrophy With Cardiovascular Deep Learning. JAMA Cardiol 2022 Apr 1;7(4):386-395. doi: https://10.1001/jamacardio.2021.6059 DOI: https://doi.org/10.1001/jamacardio.2021.6059
Christensen M, Vukadinovic M, Yuan N, Ouyang D. Vision–language foundation model for echocardiogram interpretation. Nat Med 2024 May;30(5):1481-1488. doi: https://10.1038/s41591-024-02959-y DOI: https://doi.org/10.1038/s41591-024-02959-y
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Miguel Ángel García Fernández, José Juan Gómez de Diego
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
RETIC is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license https://creativecommons.org/licenses/by-nc-nd/4.0 which allows sharing, copying and redistribution of the material in any medium or format, under the following terms:
- Attribution: you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests that the licensor endorses you or your use.
- Non-commercial: you may not use the material for commercial purposes.
- No Derivatives: if you remix, transform or build upon the material, you may not distribute the modified material.
- No Additional Restrictions: you may not apply legal terms or technological measures that legally restrict others from doing anything permitted by the license.
