Author

Mei-Yun Wang

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Open access Aug 2026

A Bilingual Benchmark for Evaluating Diagnostic Performance of Multimodal Large Language Models in Radiology (RadM-Bench): Evaluation Development and Validation

Abstract Background Multimodal large language models are increasingly used in radiological diagnosis, but their performance has not been systematically evaluated across volumetric (3D) imaging, real-world clinical versus public teaching cases, and bilingual contexts. Objective The aim of the study is to develop a bilin...

Qing-Xia Wu, Qing-Xia Wu, Pei-Pei Zhang et al. · Journal of Medical Internet... · 0 citations

Open access Jul 2026

Physicians and artificial intelligence diverge in evaluating large language models on real clinical cases.

While AI agents delivered highly efficient, directionally aligned assessments, they did not fully capture the nuances of human clinical judgment and could not substitute for physician-centered evaluation and promise assistive tools that can triage or pre-screen outputs to reduce human burden.

Peilun Shi, Jian Li, Ziqi Yang et al. · npj Digital Medicine · 0 citations