Artificial intelligence in radiology, nuclear medicine and radiotherapy: Perceptions, experiences and expectations from the medical radiation technologists in Central and South America
AI is already present in medical imaging, but its effective implementations depend on building acceptance and trust through education and training, enabling MRTs to use it safely for patient benefit.
Authors
- Christina Malamateniou (ORCID: https://orcid.org/0000-0002-2352-8575)
- Mariano José Lucero
- Paola Contreras (ORCID: https://orcid.org/0000-0001-9415-5393)
- Sergio Solis-Barquero (ORCID: https://orcid.org/0000-0002-2513-0747)
- Heidy Gonzalez
- Yini Cardona Hernández (ORCID: https://orcid.org/0000-0001-5878-3333)
- Sofia Torre
- Víctor Ezquerra
- N. Raza (ORCID: https://orcid.org/0000-0002-4961-8480)
- Yolanda Arce (ORCID: https://orcid.org/0009-0004-2867-6050)
- Joana Rios (ORCID: https://orcid.org/0000-0001-5474-8581)
- Catalina Mendez-Avila
Institutions
- National Technological University (AR)
- Central University of Ecuador (EC)
- St George's, University of London (GB)
- Universidad de la República de Uruguay (UY)
- Catholic University of the Maule (CL)
- Universidad de Costa Rica (CR)
- Centro Universitário Lusíada (BR)
- Fundación Universitaria del Área Andina (CO)
- Universidade São Judas Tadeu (BR)
- University of Chile (CL)
Publication Details
- Journal
- Journal of medical imaging and radiation sciences
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1016/j.jmir.2025.102081
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00