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Artificial Intelligence in Radiology: Ethics Concerns | OMICS International | Abstract

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Artificial Intelligence in Radiology: Ethics Concerns

Antonio Lima Junior*
Department of Clinical Research, Icahn School of Medicine, Mount Sinai, New York, USA
*Corresponding Author: Antonio Lima Junior, Department of Clinical Research, Icahn School of Medicine, Mount Sinai, New York, USA, Tel: 6464209357, Email: antonio.lima@icahn.mssm.edu

Received Date: Oct 26, 2022 / Published Date: Apr 21, 2023

Citation: Junior AL (2023) Artificial Intelligence in Radiology: Ethics Concerns. OMICS J Radiol 12: 434

Copyright: © 2023 Junior AL. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

 

Abstract

When the subject is ethics, considering health research, the issue has always been challenging and requires constant updates and reassessments. The brief definition of research ethics is the set of specific principles, rules, guidelines and norms of behavior that a research community has decided are appropriate and fair, emphasizing that research must be valid, reliable, legitimate and representative. This study brings some ethical concerns that must be considered within the scientific community, given the number of studies and development of new artificial intelligence tools, especially in radiology. Therefore, the radiology community should promote discussions; establish ethical standards for practice and new AI tools development.

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