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

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

doi:10.1016/j.rx.2022.04.005

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 journal › Article › peer-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 contribution	Barriers to Artificial Intelligence implementation in radiology practice: What the Radiologist needs to know
Original language	Spanish
Journal	Radiologia
DOIs	https://doi.org/10.1016/j.rx.2022.04.005
Publication status	Accepted/In press - 2022
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2022 SERAM

ASJC Scopus Subject Areas

Radiology Nuclear Medicine and imaging

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10.1016/j.rx.2022.04.005

Cite this

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title = "Dificultades en la implantaci{\'o}n de la inteligencia artificial en la pr{\'a}ctica radiol{\'o}gica: lo que el radi{\'o}logo necesita saber",

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.",

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year = "2022",

doi = "10.1016/j.rx.2022.04.005",

language = "Espagnol",

journal = "Radiologia",

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AU - Jajodia, A.

AU - Macdonald, D. Blair

PY - 2022

Y1 - 2022

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AB - 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.

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

Abstract

Bibliographical note

ASJC Scopus Subject Areas

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