A contrastive regression network trained on synthetic perturbed reports can detect false findings and misplaced findings in automated chest X-ray reports, and a correction step improves report quality by about 40 percent.
Detecting and pre- venting hallucinations in large vision language models
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Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports
A contrastive regression network trained on synthetic perturbed reports can detect false findings and misplaced findings in automated chest X-ray reports, and a correction step improves report quality by about 40 percent.