Multimodal Large Language Models for Breast Ultrasound Report Auditing: Workflow-Error Detection, False-Positive Burden, and Limits of Key-Image Interpretation.
Multimodal input improved LLM-based breast ultrasound workflow-error detection, with gains concentrated in errors involving image-displayed cues, however, model-specific overcalling and the inferior performance of key-image input compared with physician-interpreted findings warrant caution in clinical implementation.