[Artificial intelligence in traumatological imaging : Evidence, integration into the clinical pathway and limits].
Authors
Locherer P,Müller L,Pinto Dos Santos D
Affiliations (2)
Affiliations (2)
- Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland. [email protected].
- Klinik und Poliklinik für Diagnostische und Interventionelle Radiologie, Universitätsmedizin Mainz, Langenbeckstr. 1, 55131, Mainz, Deutschland.
Abstract
Artificial intelligence (AI) is increasingly being integrated into clinical radiology workflows and has the potential to make a significant contribution to patient care in the future. Although there is currently insufficient evidence to enable a definitive assessment, it is nonetheless worthwhile to gain experience with AI software in the context of imaging in traumatology. While impressive performance can already be observed in clinical practice, users must remain aware of the regulatory framework and critically evaluate AI results with a vigilant eye.
Topics
English AbstractJournal ArticleReview