Multimodal Large Language Models for Breast Ultrasound Report Auditing: Workflow-Error Detection, False-Positive Burden, and Limits of Key-Image Interpretation.

Error Detection for PET/CT Radiology Reports: Domain-Specific vs Large Language Models

It is suggested that domain-specific training matters more than model scale for PET/CT report error detection, supporting compact models as an accurate and computationally efficient approach to automated radiology report quality assurance.

From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography

Purpose: To compare four multimodal large language models (MLLMs) with radiologists of varying expertise in breast density assessment, BI-RADS assessment, biopsy candidacy determination, and continuous malignancy probability estimation using digital mammography (DM) and contrast-enhanced mammography (CEM). Methods: Thi...

Diagnostic performance of large language models for discrepancy detection in non-English resident-authored abdominal CT and MRI reports: a Turkish-language evaluation.

Incremental Diagnostic Value of Clinical Information for Large Language Models Across Multiple Organs: Retrospective Study

The addition of clinical information was associated with a numeric trend toward higher diagnostic accuracy overall, but this trend was heterogeneous across models and disease types, and no statistically significant improvement was demonstrated after adjustment for multiple comparisons.

Comparative Performance of Multimodal Large Language Models in Grayscale Ultrasound-Based Classification of Thyroid Nodules.

Publicly available multimodal LLMs showed measurable but heterogeneous performance in grayscale ultrasound-based thyroid nodule classification, but none of the models matched senior radiologist-level performance.

Breast MRI With Abbreviated Reading Protocol as Additional Evaluation Tool for Suspicious Microcalcifications in a Screening Cohort: Diagnostic Performance and Interreader Agreement

Abbreviated breast MRI is a feasible and time-efficient approach with consistent diagnostic performance across readers for evaluating suspicious MC, and MIP-only evaluation, does not appear to provide sufficient diagnostic reliability.