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BMC Medicine|July 11, 2024
The clinical value of artificial intelligence in assisting junior radiologists in thyroid ultrasound: a multicenter prospective study from real clinical practiceDong Xu, Lin Sui, Chunquan Zhang, et al.
BMC Cancer|April 23, 2024
Deep learning-assisted diagnosis of benign and malignant parotid tumors based on ultrasound: a retrospective studyTian Jiang, Chen Chen, Yahan Zhou, et al.
The British Journal of Radiology|September 17, 2024
Deep learning-assisted distinguishing breast phyllodes tumours from fibroadenomas based on ultrasound images: a diagnostic studyYuqi Yan, Yuanzhen Liu, Jincao Yao, et al.
NPJ Digital Medicine|January 28, 2025
The use of large language models in detecting Chinese ultrasound report errorsYuqi Yan, Kai Wang, Bojian Feng, et al.
Cancer Imaging : the Official Publication of the International Cancer Imaging Society|May 9, 2025
Hierarchical diagnosis of breast phyllodes tumors enabled by deep learning of ultrasound images: a retrospective multi-center studyYuqi Yan, Yuanzhen Liu, Yao Wang, et al.
NPJ Digital Medicine|February 27, 2025
A deep learning based ultrasound diagnostic tool driven by 3D visualization of thyroid nodulesYahan Zhou, Chen Chen, Jincao Yao, et al.
Insights Into Imaging|November 27, 2025
Early prediction of thyroid capsule invasion in papillary microcarcinoma using ultrasound-based deep learning models: a retrospective multicenter studyLin Sui, Bojian Feng, Xiayi Chen, et al.
European Radiology|February 12, 2025
A multicenter diagnostic study of thyroid nodule with Hashimoto's thyroiditis enabled by Hashimoto's thyroiditis nodule-artificial intelligence modelChen Chen, Yahan Zhou, Bo Xu, et al.
International Journal of Hyperthermia : the Official Journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group|April 14, 2025
Early efficacy of radiofrequency ablation for multifocal T1N0M0 papillary thyroid carcinoma: a multicenter studyXinying Zhu, Gongli Zhou, Ying Zhou, et al.
Abdominal Radiology (New York)|March 10, 2026
Development and validation of an interpretable CT-based scoring model for gastric cancer aggressivenessYing-Qiao Zhang, Juan Zhang, Yu-Yao Jin, et al.
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