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Radiology report generation models can now verbalize calibrated confidence estimates, enabling targeted radiologist review of potentially hallucinated findings.
Instruction-tuned LLMs can mine free-text radiology reports to create a knowledge base that significantly improves the accuracy of structured report generation, especially for rare and detailed findings.
