Fudan University Shanghai Cancer Center
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Prediction of Lymph Node Metastasis in Patients With Papillary Thyroid Carcinoma: A Radiomics Method Based on Preoperative Ultrasound Images
Tongtong Liu, Shichong Zhou, Jinhua Yu et al.
2019 · 132 Zit.
Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang et al.
2023 · 118 Zit.
Artificial intelligence in breast imaging: Current situation and clinical challenges
Chao You, Yiyuan Shen, Shiyun Sun et al.
2023 · 35 Zit.
Prognostic significance and optimal cutoff of age in medullary thyroid cancer
Ning Qu, Rong-Liang Shi, Ting-xian Luo et al.
2016 · 21 Zit.
U2F-GAN: Weakly Supervised Super-pixel Segmentation in Thyroid Ultrasound Images
Ruoyun Liu, Shichong Zhou, Yi Guo et al.
2021 · 17 Zit.
Artificial intelligence in gastric cancer: a translational narrative review
Chaoran Yu, Ernest Johann Helwig
2021 · 16 Zit.
An overview of artificial intelligence in medical physics and radiation oncology
Jiali Liu, Haonan Xiao, Jiawei Fan et al.
2023 · 9 Zit.
Being a non-native English speaker in science and medicine
Sigrid Carlsson, Sandro C. Esteves, Élisabeth Grobet-Jeandin et al.
2024 · 8 Zit.
An Artificial Intelligence–Driven Preoperative Radiomic Subtype for Predicting the Prognosis and Treatment Response of Patients with Papillary Thyroid Carcinoma
Qiang Li, Weituo Zhang, Tian Liao et al.
2024 · 5 Zit.
"Evolving role of AI in radiation oncology"— special collection - introductory Editorial
Sarah A. Mattonen, Issam El Naqa, Weigang Hu et al.
2022 · 1 Zit.
Data Quotient: The Future Competence of Oncology Nurses
Changrong Yuan
2021 · 1 Zit.
Evaluation of DeepSeek-R1 and ChatGPT on the Chinese National Medical Licensing Examination: A Multi-Year Comparative Study
Xuezhen Wang, Ziren Long, Bingqin Zhu et al.
2025 · 0 Zit.
[A comparative study on the application of DeepSeek-R1 and ChatGPT in multidisciplinary treatment decision-making for advanced gastric cancer].
J B Huang, H Z Li, Zhen Zong et al.
2026 · 0 Zit.
Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study
Linhao Qu, Chengsheng Zhang, Yingyong Hou et al.
2026 · 0 Zit.
Adapting LLMs for biomedical natural language processing: a comprehensive benchmark study on fine-tuning methods
Junjie Zhu, Jin Li, Shen Zhao et al.
2026 · 0 Zit.