Sir Run Run Shaw Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Opening the black box of neural networks: methods for interpreting neural network models in clinical applications
Zhongheng Zhang, Marcus W. Beck, David A. Winkler et al.
2018 · 290 Zit.
Artificial intelligence, physiological genomics, and precision medicine
Anna Marie Williams, Yong Liu, Kevin R. Regner et al.
2018 · 129 Zit.
Digital Transformation in Personalized Medicine with Artificial Intelligence and the Internet of Medical Things
Biaoyang Lin, Shengjun Wu
2021 · 73 Zit.
Artificial Intelligence Applications for COVID-19 in Intensive Care and Emergency Settings: A Systematic Review
Marcel Lucas Chee, Marcus Eng Hock Ong, Fahad Javaid Siddiqui et al.
2021 · 39 Zit.
Predictive analytics in the era of big data: opportunities and challenges
Zhongheng Zhang
2020 · 37 Zit.
Influence of next-generation artificial intelligence on headache research, diagnosis and treatment: the junior editorial board members’ vision – part 1
Igor Petrušić, Woo‐Seok Ha, Alejandro Labastida‐Ramírez et al.
2024 · 31 Zit.
Evaluating ChatGPT’s diagnostic potential for pathology images
Liya Ding, Lei Fan, Miao Shen et al.
2025 · 19 Zit.
Assessing ChatGPT as a Medical Consultation Assistant for Chronic Hepatitis B: Cross-Language Study of English and Chinese
Yijie Wang, Yining Chen, Jifang Sheng
2024 · 19 Zit.
Chat-ePRO: Development and pilot study of an electronic patient-reported outcomes system based on ChatGPT
Zikang Chen, Qinchuan Wang, Yaoqian Sun et al.
2024 · 14 Zit.
A practical guide for nephrologist peer reviewers: evaluating artificial intelligence and machine learning research in nephrology
Yanni Wang, Wisit Cheungpasitporn, Hatem Ali et al.
2025 · 13 Zit.
The mediation of trust on artificial intelligence anxiety and continuous adoption of artificial intelligence technology among primacy nurses: a cross-sectional study
Qi Zhou, Lili Yang, Yue Tang et al.
2025 · 9 Zit.
Artificial intelligence-assisted machine learning models for predicting lung cancer survival
Yue Yuan, Guolong Zhang, Yuqi Gu et al.
2025 · 9 Zit.
Unsupervised Detection of Pulmonary Opacities for Computer-Aided Diagnosis of COVID-19 on CT Images
Rui Xu, Xiao Cao, Yufeng Wang et al.
2021 · 9 Zit.
Enhancing Patient Selection in Sepsis Clinical Trials Design Through an AI Enrichment Strategy: Algorithm Development and Validation
Meicheng Yang, Jinqiang Zhuang, Wenhan Hu et al.
2024 · 8 Zit.
A study of machine learning models for rapid intraoperative diagnosis of thyroid nodules for clinical practice in China
Yan Ma, Xiuming Zhang, Zhongliang Yi et al.
2024 · 7 Zit.