AI让影像更清晰更快，但可能掩盖真实信息，需警惕误判风险。
Image Quality in the Era of Artificial Intelligence
- 用AI重建影像可提升清晰度与速度，减少扫描时间。
- 图像视觉质量提升未必代表信息量增加，存在感知误导风险。
- 适合放射科医生理解技术局限，避免依赖视觉错觉决策。
人工智能在放射学中应用迅速增长。AI在图像重建与增强方面表现出色，生成的图像更清晰、平滑且细节丰富，可加快采集速度，提升临床阅片效率。然而，引入AI也带来新的故障模式，可能加剧图像主观质量与实际信息含量之间的脱节。理解AI图像重建与增强的局限性，对安全有效使用该技术至关重要。本文旨在揭示在使用AI进行影像重建或增强时的潜在问题，帮助使用者充分获益的同时，降低使用风险。
原文摘要 · Abstract (English)
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.
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