Artificial intelligence in medical imaging diagnosis: are we ready for its clinical implementation?
Overcoming these barriers requires a collaborative, multidisciplinary approach to integrate AI into clinical practice responsibly. Addressing technical, ethical, and legal issues will support a softer transition, fostering a more accurate, efficient, and patient-centered healthcare system where AI augments traditional medical practices.
Authors
- Oscar Ramos-Soto (ORCID: https://orcid.org/0000-0002-0598-8017)
- Sandra E. Balderas-Mata (ORCID: https://orcid.org/0000-0002-3043-2774)
- Itzel Aranguren (ORCID: https://orcid.org/0000-0001-6573-2825)
- Manuel Carrillo M
Institutions
- Universidad de Guadalajara (MX)
- Centro Medico Nacional Siglo XXI (MX)
- Hospital de Especialidades (MX)
Publication Details
- Journal
- Journal of Medical Imaging
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1117/1.jmi.12.6.061405
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65