Author

Mei-Yun Wang

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Open access Sep 2026

Multichannel deep learning using multiregional DCE-MRI to predict axillary pathological complete response after neoadjuvant chemotherapy in breast cancer

To develop and compare multiregional 2D and 2.5D deep learning models based on DCE-MRI for noninvasive prediction of axillary lymph node (ALN) pathological complete response (pCR) after neoadjuvant chemotherapy (NAC). This retrospective study enrolled 305 patients with invasive breast cancer and ipsilate...

Jun Liao, Meng-Ting Xu, Rui-Min Li et al. · BMC Medical Imaging · 0 citations

Open access Aug 2026

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

Within the scope of this benchmark, multimodal inputs improved performance over clinical history alone, but performance gaps remain in volumetric data processing and cross-context generalization, with mean diagnostic performance across the 10 evaluated models remaining below clinically actionable levels on both dataset...

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