Image Quality in the Era of Artificial Intelligence

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Authors: Jana G. Delfino, Jason Granstedt, F. W. Samuelson, Robert A. Ochs, Krishna Juluru
Cited by: 0

Abstract

Artificial intelligence (AI) is being deployed within radiology at a rapid pace. AI has proven an excellent tool for reconstructing and enhancing images that appear sharper, smoother, and more detailed, can be acquired more quickly, and allowing clinicians to review them more rapidly. However, incorporation of AI also introduces new failure modes and can exacerbate the disconnect between perceived quality of an image and information content of that image. Understanding the limitations of AI-enabled image reconstruction and enhancement is critical for safe and effective use of the technology. Hence, the purpose of this communication is to bring awareness to limitations when AI is used to reconstruct or enhance a radiological image, with the goal of enabling users to reap benefits of the technology while minimizing risks.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Radiation Dose and Imaging Medical Imaging Techniques and Applications

Publication details

Journal / source
arXiv (Cornell University)
Publication date
10 February 2026
Language
EN
Document type
Preprint