A Decade of AI Shadows in Radiology: Hype Gives Way to Pragmatic, Task-Specific Value

A decade of AI hype, fueled by replacement narratives, has not supplanted radiologists. Evidence now shows AI's real value in narrow, well-defined tasks like triage and workflow optimization, while its limitations—including hallucinations and narrow clinical relevance—temper the…

• Design: This is a narrative review reflecting on 10 years of AI development and adoption in radiology, analyzing the cycle from inflated expectations to current realistic applications.
• Key finding: AI has demonstrated genuine utility in specific areas such as image quality enhancement, quantitative analysis, and workflow triage, but most marketed solutions still have restricted clinical relevance (exact figures not reported in source).
• Limitation: This is an expert commentary and qualitative review, not a systematic analysis, and does not provide quantitative meta-analytical data on AI's performance or impact.

RadPigeon summaries are original and for information only. They are not clinical advice.