Tongji University

Artificial intelligence in ultrasound

Yuting Shen, Liang Chen, Wenwen Yue et al.

2021 · 200 Zit.

Comparison Study of Radiomics and Deep Learning-Based Methods for Thyroid Nodules Classification Using Ultrasound Images

Yongfeng Wang, Wenwen Yue, Xiaolong Li et al.

2020 · 91 Zit.

Rethink reporting of evaluation results in AI

Ryan Burnell, Wout Schellaert, John Burden et al.

2023 · 82 Zit.

Diagnostic accuracy of deep learning in orthopaedic fractures: a systematic review and meta-analysis

Sha Yang, Bangde Yin, Weisheng Cao et al.

2020 · 60 Zit.

Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis

Hui Zong, Rongrong Wu, Jiaxue Cha et al.

2024 · 54 Zit.

AI-generated Content

Feng Zhao, Duoqian Miao

2023 · 41 Zit.

Digital twinning for smart hospital operations: Framework and proof of concept

Yilong Han, Yinbo Li, Yongkui Li et al.

2023 · 40 Zit.

Advances in deep learning for personalized ECG diagnostics: A systematic review addressing inter-patient variability and generalization constraints

Cheng Ding, Tianliang Yao, Chenwei Wu et al.

2024 · 27 Zit.

Neural Networks for the Detection of COVID-19 and Other Diseases: Prospects and Challenges

Muhammad Waqar Azeem, Shumaila Javaid, Ruhul Amin Khalil et al.

2023 · 25 Zit.

Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study

Chaoyang Tong, Xinwei Du, Yancheng Chen et al.

2024 · 22 Zit.

Artificial intelligence (AI) futures: India-UK collaborations emerging from the 4th Royal Society Yusuf Hamied workshop

Yogesh K. Dwivedi, Laurie Hughes, H. K. D. H. Bhadeshia et al.

2023 · 20 Zit.

Applying advanced technologies to improve clinical trials: a systematic mapping study

Ngayua Esther Nanzayi, Jianjia He, Kwabena Agyei-Boahene

2020 · 20 Zit.

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients

Jun Wang, Chen Liu, Jingwen Li et al.

2021 · 17 Zit.

Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes

Jingyu Zhong, Xian‐Wei Liu, Junjie Lu et al.

2025 · 17 Zit.

Novel Survival Features Generated by Clinical Text Information and Radiomics Features May Improve the Prediction of Ischemic Stroke Outcome

Yingwei Guo, Yingjian Yang, Fengqiu Cao et al.

2022 · 17 Zit.