Résumé
Artificial Intelligence has the potential to disrupt the way clinical radiology is practiced globally. However, there are barriers that radiologists should be aware of prior to implementing Artificial Intelligence in daily practice. Barriers include regulatory compliance, ethical issues, data privacy, cybersecurity, AI training bias, and safe integration of AI into routine practice. In this article, we summarize the issues and the impact on clinical radiology.
Titre traduit de la contribution | Barriers to Artificial Intelligence implementation in radiology practice: What the Radiologist needs to know |
---|---|
Langue d'origine | Spanish |
Journal | Radiologia |
DOI | |
Statut de publication | Accepted/In press - 2022 |
Publié à l'externe | Oui |
Note bibliographique
Publisher Copyright:© 2022 SERAM
ASJC Scopus Subject Areas
- Radiology Nuclear Medicine and imaging