Dificultades en la implantación de la inteligencia artificial en la práctica radiológica: lo que el radiólogo necesita saber

Translated title of the contribution: Barriers to Artificial Intelligence implementation in radiology practice: What the Radiologist needs to know

A. V. Nair, S. Ramanathan, P. Sathiadoss, A. Jajodia, D. Blair Macdonald

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

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.

Translated title of the contributionBarriers to Artificial Intelligence implementation in radiology practice: What the Radiologist needs to know
Original languageSpanish
JournalRadiologia
DOIs
Publication statusAccepted/In press - 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 SERAM

ASJC Scopus Subject Areas

  • Radiology Nuclear Medicine and imaging

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