First Hospital of China Medical University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review
Yue Cai, Yuqing Cai, Liying Tang et al.
2024 · 83 Zit.
A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study
Lingwei Meng, Di Dong, Liang Li et al.
2020 · 81 Zit.
Trends in the application of deep learning networks in medical image analysis: Evolution between 2012 and 2020
Lu Wang, Hairui Wang, Yingna Huang et al.
2021 · 79 Zit.
Understanding Medical Students’ Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study
Xin Li, Michael Yi‐Chao Jiang, Morris Siu–Yung Jong et al.
2022 · 77 Zit.
Assessing the effectiveness of artificial intelligence methods for melanoma: A retrospective review
Xiaoyu Cui, Ran Wei, Lixin Gong et al.
2019 · 49 Zit.
AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking
Wenxuan Li, Chongyu Qu, Xiaoxi Chen et al.
2024 · 38 Zit.
Machine learning in nephrology: scratching the surface
Qi Li, Qiuling Fan, Qiuxia Han et al.
2020 · 23 Zit.
Development and validation of interpretable machine learning models for triage patients admitted to the intensive care unit
Zheng Liu, Wenqi Shu, Hongyan Liu et al.
2025 · 17 Zit.
SRT: Swin-residual transformer for benign and malignant nodules classification in thyroid ultrasound images
Long Huang, Yanran Xu, S.C. Wang et al.
2024 · 16 Zit.
Revolutionizing Neurosurgery with GPT-4: A Leap Forward or Ethical Conundrum?
Wenbo Li, Mingshu Fu, Siyu Liu et al.
2023 · 15 Zit.
DPAM-PSPNet: ultrasonic image segmentation of thyroid nodule based on dual-path attention mechanism
Shuhuan Wang, Zhiqing Li, Lingmin Liao et al.
2023 · 13 Zit.
Global Scientific Research Landscape on Medical Informatics From 2011 to 2020: Bibliometric Analysis
Xuefei He, Cheng Peng, Yingxin Xu et al.
2022 · 12 Zit.
Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population
Zihao Fan, Zhi Du, Jinrong Fu et al.
2023 · 7 Zit.
Mapping intellectual structures and research hotspots in the application of artificial intelligence in cancer: A bibliometric analysis
Pengfei Lyu, Yu Wang, Qingxiang Meng et al.
2022 · 7 Zit.
Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis
Benqiao Wang, Bohao Jiang, Dan Liu et al.
2025 · 6 Zit.