Chengdu University of Traditional Chinese Medicine
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Public perceptions on the application of artificial intelligence in healthcare: a qualitative meta-synthesis
Chenxi Wu, Huiqiong Xu, Dingxi Bai et al.
2023 · 69 Zit.
Clinlabomics: leveraging clinical laboratory data by data mining strategies
Xiaoxia Wen, Ping Leng, Jiasi Wang et al.
2022 · 65 Zit.
Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography
Qianrong Xie, Yue Chen, Yimei Hu et al.
2022 · 47 Zit.
The ethical challenges in the integration of artificial intelligence and large language models in medical education: A scoping review
Xinrui Li, Xiaodan Yan, Hsiang-Wai Lai
2025 · 12 Zit.
Artificial intelligence in acupuncture: A bibliometric study
Qiongyang Zhou, Tianyu Zhao, Kaidi Feng et al.
2023 · 11 Zit.
Application of artificial intelligence in Alzheimer’s disease: a bibliometric analysis
Sijia Song, Tong Li, Wei Lin et al.
2025 · 10 Zit.
Artificial Intelligence in CT for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Cancer Patients: A Meta-analysis
Sixun Zeng, Yingxian Liu, Xinyi Duan et al.
2025 · 7 Zit.
Comparative analysis of large language models on rare disease identification
Guangyu Ao, Min Chen, Jing Li et al.
2025 · 6 Zit.
Traditional Chinese Medicine + artificial intelligence: Wuzhen consensus
Junhua Zhang, X. Chen, Luqi Huang et al.
2025 · 5 Zit.
Research Hotspots and Trends of Deep Learning in Critical Care Medicine: A Bibliometric and Visualized Study
Kaichen Zhang, Yihua Fan, Kunlan Long et al.
2023 · 4 Zit.
EMR-LIP: A lightweight framework for standardizing the preprocessing of longitudinal irregular data in electronic medical records
Jiawei Luo, Shixin Huang, Lan Lan et al.
2024 · 3 Zit.
SEM model analysis of diabetic patients’ acceptance of artificial intelligence for diabetic retinopathy
Luchang Jin, Yanmin Tao, Ya Liu et al.
2025 · 2 Zit.
Machine learning for predicting burnout among healthcare workers: a systematic review and meta-analysis
Huijing Shi, Jinyang Liu, Chaochao Yang et al.
2025 · 2 Zit.
Clinical Application Potential of Large Language Model: A Study Based on Thyroid Nodules
Shujun Xia, Hua Qing, Zihan Mei et al.
2024 · 2 Zit.
Developing Nurse‐Accessible Hypertension Prediction Tools for Low‐Income Populations: A Comparative Analysis of Machine Learning Algorithms With SHAP Interpretation
Chuan Huang, Jiaojiao Xu, Hai Bo Qiu et al.
2025 · 2 Zit.