AI That Explains Image Quality in Low‑Dose CT (LMM‑IQA)

Kari Jaaskelainen

11 Nov 2025 — 1 min read

Safer CT scans, clearer answers

Low‑dose CT reduces radiation, but can introduce noise, blur, and contrast loss. LMM‑IQA is an AI system that scores image quality and explains what went wrong—using plain language.

Dual output: a numerical quality score plus text describing issues like noise, blur, or contrast loss.
Multiple inference strategies—zero‑shot, metadata‑aware prompts, and error‑feedback—stack to boost performance step by step.
Results: scores that align closely with reference measures, and explanations clinicians can interpret.

Why it matters: consistent, interpretable image quality assessment can support clinical workflows, audits, and research on safer scanning protocols.

Paper: http://arxiv.org/abs/2511.07298v1
Code: https://github.com/itu-biai/lmms_ldct_iqa

Paper: http://arxiv.org/abs/2511.07298v1

Register: https://www.AiFeta.com

#AI #MedicalImaging #CT #Radiology #LowDose #ImageQuality #ExplainableAI #Healthcare

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