Radiology AI and sustainability paradox: environmental, economic, and social dimensions

Radiology AI and sustainability paradox: environmental, economic, and social dimensions

Abstract Artificial intelligence (AI) is transforming radiology by improving diagnostic accuracy, streamlining workflows, and enhancing operational efficiency. However, these advancements come with significant sustainability challenges across environmental, economic, and social dimensions. AI system...

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Bibliographic Details
Main Authors: Burak Kocak, Andrea Ponsiglione, Valeria Romeo, Lorenzo Ugga, Merel Huisman, Renato Cuocolo
Format: Article
Language:English
Published: SpringerOpen 2025-04-01
Series:Insights into Imaging
Subjects:
Artificial intelligence
Radiology
Sustainability
Environmental health
Health equity
Online Access:https://doi.org/10.1186/s13244-025-01962-2
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https://doi.org/10.1186/s13244-025-01962-2

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