Guangdong Academy of Medical Sciences
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The importance of resource awareness in artificial intelligence for healthcare
Zhenge Jia, Jianxu Chen, Xiaowei Xu et al.
2023 · 74 Zit.
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning–based Radiograph Diagnosis: A Multicenter Study
Luyang Luo, Hao Chen, Yongjie Xiao et al.
2022 · 24 Zit.
<scp>Thy‐Wise</scp>: An interpretable machine learning model for the evaluation of thyroid nodules
Zhe Jin, Shufang Pei, Lizhu Ouyang et al.
2022 · 20 Zit.
A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images
Xiaowei Xu, Qianjun Jia, Haiyun Yuan et al.
2023 · 19 Zit.
Annotation-efficient deep learning for automatic medical image segmentation
Shanshan Wang, Cheng Li, Rongpin Wang et al.
2021 · 14 Zit.
A proposed artificial intelligence workflow to address application challenges leveraged on algorithm uncertainty
Dantong Li, Lianting Hu, Xiaoting Peng et al.
2022 · 8 Zit.
Enhancing fairness in AI-enabled medical systems with the attribute neutral framework
Lianting Hu, Dantong Li, Huazhang Liu et al.
2024 · 8 Zit.
Artificial intelligence research in radiation oncology: a practical guide for the clinician on concepts and methods
Frank Hoebers, Leonard Wee, Jirapat Likitlersuang et al.
2023 · 5 Zit.
Editorial: Radiomics Advances Precision Medicine
Bo Gao, Di Dong, Huimao Zhang et al.
2022 · 4 Zit.
Current concerns and future directions of large language model ChatGPT in medicine: a machine-learning-driven global-scale bibliometric analysis
Song‐Bin Guo, Dengyao Liu, Xiaojie Fang et al.
2025 · 4 Zit.
Accuracy and Reproducibility of ChatGPT Responses to 362 Breast Cancer Tumor Board Cases
Ning Liao, Cheukfai Li, William J. Gradishar et al.
2024 · 4 Zit.
Accuracy and Reproducibility of ChatGPT Responses to Breast Cancer Tumor Board Patients
Ning Liao, Cheukfai Li, William J. Gradishar et al.
2025 · 3 Zit.
Assessing the decision quality of artificial intelligence and oncologists of different experience in different regions in breast cancer treatment
Chunguang Han, Yubo Pan, Chang Liu et al.
2023 · 2 Zit.
Deep Learning for the Diagnosis and Treatment of Thyroid Cancer: A Review
Rili Gao, Sabine Mai, Song Wang et al.
2025 · 1 Zit.
Awareness and Attitudes Toward Artificial Intelligence Language Generation Models in Medical Education: A Cross-Sectional Questionnaire Study Among Medical Students in Southern China
Min Zhang, Tao Liu, Xiang Peng et al.
2025 · 1 Zit.