Revisiting LLM Adaptation for 3D CT Report Generation: A Study of Scaling and Diagnostic Priors

In three linesStudy of LLM adaptation for 3D CT report generation in medical imaging. RAD3D-Prefix, a lightweight diagnostic-prior framework, integrates image embeddings and multi-label classification logits. Across LLMs from 96.1M to 1.6B parameters, freezing the model and training only projection layers outperforms full fine-tuning, reducing clinical hallucination and overfitting.

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