Tongji University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in ultrasound
Yuting Shen, Liang Chen, Wenwen Yue et al.
2021 · 205 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 · 92 Zit.
Rethink reporting of evaluation results in AI
Ryan Burnell, Wout Schellaert, John Burden et al.
2023 · 84 Zit.
Large Language Models in Worldwide Medical Exams: Platform Development and Comprehensive Analysis
Hui Zong, Rongrong Wu, Jiaxue Cha et al.
2024 · 65 Zit.
Diagnostic accuracy of deep learning in orthopaedic fractures: a systematic review and meta-analysis
Sha Yang, Bangde Yin, Weisheng Cao et al.
2020 · 63 Zit.
AI-generated Content
Feng Zhao, Duoqian Miao
2023 · 45 Zit.
Personalized risk prediction of symptomatic intracerebral hemorrhage after stroke thrombolysis using a machine-learning model
Feng Wang, Yuanhanqing Huang, Yong Xia et al.
2020 · 44 Zit.
Digital twinning for smart hospital operations: Framework and proof of concept
Yilong Han, Yinbo Li, Yongkui Li et al.
2023 · 43 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 · 32 Zit.
Predicting long-term outcomes for acute ischemic stroke using multi-model MRI radiomics and clinical variables
Lai Wei, Xianpan Pan, Wei Deng et al.
2024 · 31 Zit.
Deep learning to assist composition classification and thyroid solid nodule diagnosis: a multicenter diagnostic study
Chen Chen, Yitao Jiang, Jincao Yao et al.
2023 · 29 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 · 28 Zit.
Deep learning for intelligent diagnosis in thyroid scintigraphy
Tingting Qiao, Simin Liu, Zhijun Cui et al.
2021 · 26 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.
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 · 21 Zit.