UniRG: Scaling medical imaging report generation with multimodal reinforcement learning

Three white icons on a blue‑green gradient: a ribcage scan, a circuit‑style document, and a neural network diagram

At a glance

  • AI-driven medical image report generation can help medical providers become more efficient and productive.
  • Current models are difficult to train because reporting practices vary widely among providers.
  • Universal Report Generation (UniRG) uses reinforcement learning to align model training with real-world radiology practice rather than proxy text-generation objectives.
  • UniRG

     

     

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