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AI models improve factuality in 3D brain and liver MRI report generation

By PulseAugur Editorial · [2 sources] ·

Researchers have developed new methods for generating more accurate radiology reports from 3D medical imaging. One approach, PIRTA, uses retrieval-augmented generation to improve the factuality of brain MRI reports by leveraging similar image-text pairs to ground LLM generation. Another method, MRI2Rep, focuses on 3D liver MRI, converting free-text reports into structured diagnostic sequences and achieving high case-level sensitivity and lesion-level F1 scores, though human evaluation showed AI reports were rated as clinically acceptable less often than original reports. AI

IMPACT Advances in AI-powered medical report generation could lead to faster, more accurate diagnoses and reduce radiologist workload.

RANK_REASON Two distinct research papers on arXiv detailing novel methods for AI-driven medical report generation from 3D MRI scans.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI models improve factuality in 3D brain and liver MRI report generation

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Two distinct research papers on arXiv detailing novel methods for AI-driven medical report generation from 3D MRI scans.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Junhyeok Lee, Yujin Oh, Dahyoun Lee, Hyon Keun Joh, Chul-Ho Sohn, Sung Hyun Baik, Cheol Kyu Jung, Jung Hyun Park, Kyu Sung Choi, Byung-Hoon Kim, Jong Chul Ye ·

    Improving Factuality of 3D Brain MRI Report Generation with Paired Image-domain Retrieval and Text-domain Augmentation

    arXiv:2411.15490v2 Announce Type: replace-cross Abstract: Acute ischemic stroke (AIS) requires time-critical decision-making, where inaccurate interpretation of neuroimaging findings can lead to irreversible disability. Diffusion-weighted imaging (DWI) and apparent diffusion coef…

  2. arXiv cs.CV TIER_1 English(EN) · Xinran Li, Junlin Yang, Annabella Shewarega, Zongwei Zhou, Julius Chapiro, James S. Duncan, Lawrence H. Staib ·

    MRI2Rep: Autoregressive Structured Report Generation for 3D Liver MRI

    arXiv:2606.25279v1 Announce Type: new Abstract: Manual reporting of 3D MRI studies is time-consuming, yet end-to-end structured report generation for 3D liver MRI remains underexplored due to volumetric complexity and scarce paired data. We propose MRI2Rep, an autoregressive fram…

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