Multimodal large language models in ultrasound diagnosis of breast masses: a multicenter comparative analysis based on GPT-4o, radiologists, and convolutional neural network (CNN)

The effectiveness of GPT-4o in interpreting real-world US images was limited, yet improved in image-combined-text-strategy. Deploying LLM warrants scrutiny from radiologists.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-09-24
DOI
https://doi.org/10.21037/qims-2025-92
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Multimodal large language models in ultrasound diagnosis of breast masses: a multicenter comparative analysis based on GPT-4o, radiologists, and convolutional neural network (CNN)

Shuangquan Jiang, Tongyi Huang, Xiaoer Zhang, Jiaqian Yao et al.
Quantitative Imaging in Medicine and Surgery
Radiomics and Machine Learning in Medical Imaging
article

Multimodal large language models in ultrasound diagnosis of breast masses: a multicenter comparative analysis based on GPT-4o, radiologists, and convolutional neural network (CNN)

Shuangquan Jiang, Tongyi Huang, Xiaoer Zhang, Jiaqian Yao, Lin Jiang, Bo Zhang, Rui Zhang, Xiaoyan Xie, Minghui Xu, Zhijia Yang
article en

Abstract

The effectiveness of GPT-4o in interpreting real-world US images was limited, yet improved in image-combined-text-strategy. Deploying LLM warrants scrutiny from radiologists.

Quantitative Imaging in Medicine and SurgeryVol. 15(10)
Harbin Medical University (CN), Sun Yat-sen University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China-Japan Friendship Hospital (CN), Peking Union Medical College Hospital (CN), The First Affiliated Hospital, Sun Yat-sen University (CN), Second Affiliated Hospital of Harbin Medical University (CN)
Openalex Percentile: Top 61%
Radiomics and Machine Learning in Medical Imaging
DOIOpen Access PDFOpenAlex
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Multimodal large language models in ultrasound diagnosis of breast masses: a multicenter comparative analysis based on GPT-4o, radiologists, and convolutional neural network (CNN) — Shuangquan Jiang, Tongyi Huang, et al. · Quantitative Imaging in Medicine and Surgery (2025) | TGRS Research Map | TGRS