Nantong University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Ethics and governance of trustworthy medical artificial intelligence
Jie Zhang, Zongming Zhang
2023 · 399 Zit.
Artificial intelligence-driven radiomics study in cancer: the role of feature engineering and modeling
Yuanpeng Zhang, Xinyun Zhang, Yu‐Ting Cheng et al.
2023 · 182 Zit.
Explainability of artificial intelligence methods, applications and challenges: A comprehensive survey
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash et al.
2022 · 163 Zit.
Intelligent system for COVID-19 prognosis: a state-of-the-art survey
Janmenjoy Nayak, Bighnaraj Naik, Paidi Dinesh et al.
2021 · 52 Zit.
WHO declares the end of the COVID-19 global health emergency: lessons and recommendations from the perspective of ChatGPT/GPT-4
Kunming Cheng, Chunchun Wu, Shuqin Gu et al.
2023 · 42 Zit.
Public Trust in Artificial Intelligence Applications in Mental Health Care: Topic Modeling Analysis
Yi Shan, Meng Ji, Wenxiu Xie et al.
2022 · 39 Zit.
Clot-based radiomics model for cardioembolic stroke prediction with CT imaging before recanalization: a multicenter study
Jingxuan Jiang, Jianyong Wei, Yueqi Zhu et al.
2022 · 38 Zit.
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
Qinghao Ye, Yuan Gao, Weiping Ding et al.
2021 · 36 Zit.
Artificial intelligence in perinatal mental health research: A scoping review
Wai Hang Kwok, Yuanpeng Zhang, Guanjin Wang
2024 · 34 Zit.
Application of AI-empowered scenario-based simulation teaching mode in cardiovascular disease education
Koulong Zheng, Zhiyu Shen, Z. Chen et al.
2024 · 29 Zit.
MT-nCov-Net: A Multitask Deep-Learning Framework for Efficient Diagnosis of COVID-19 Using Tomography Scans
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash et al.
2021 · 23 Zit.
Generalizable Segmentation of COVID-19 Infection From Multi-Site Tomography Scans: A Federated Learning Framework
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash et al.
2023 · 20 Zit.
Language Use in Conversational Agent–Based Health Communication: Systematic Review
Yi Shan, Meng Ji, Wenxiu Xie et al.
2022 · 20 Zit.
RCTE: A reliable and consistent temporal-ensembling framework for semi-supervised segmentation of COVID-19 lesions
Weiping Ding, Mohamed Abdel‐Basset, Hossam Hawash
2021 · 19 Zit.
The Use of Machine Learning Techniques to Predict Deep Vein Thrombosis in Rehabilitation Inpatients
Tingting Hou, Wei Qiao, Sijin Song et al.
2023 · 16 Zit.