Sixth Affiliated Hospital of Sun Yat-sen University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Deep learning-based artificial intelligence model to assist thyroid nodule diagnosis and management: a multicentre diagnostic study
Sui Peng, Yihao Liu, Weiming Lv et al.
2021 · 346 Zit.
Large language models in clinical trials: applications, technical advances, and future directions
Anqi Lin, Zhihan Wang, Aimin Jiang et al.
2025 · 6 Zit.
Evaluating Large Language Models for Preoperative Patient Education in Superior Capsular Reconstruction: Comparative Study of Claude, GPT, and Gemini
Yukang Liu, Hua Li, Jianfeng Ouyang et al.
2025 · 6 Zit.
Adaptive Dual-Task Deep Learning for Automated Thyroid Cancer Triaging at Screening US
Shaohong Wu, Ming-De Li, Wenjuan Tong et al.
2025 · 4 Zit.
Evaluating the performance and clinical decision‐making impact of <scp>ChatGPT</scp> ‐4 in reproductive medicine
Rouzhu Chen, Danling Zeng, Yi Li et al.
2024 · 3 Zit.
Artificial intelligence-powered copilots for precision diagnosis and surgical assessment of histological growth patterns in resectable colorectal liver metastases: a prospective study
Ruichong Lin, Yongjian Chen, Yanchun Li et al.
2025 · 2 Zit.
Prediction model for lateral lymph node metastasis of papillary thyroid carcinoma in children and adolescents based on ultrasound imaging and clinical features: a retrospective study
Shiyang Lin, Yuan Zhong, Yidi Lin et al.
2024 · 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.
Unveiling large multimodal models in pulmonary CT: A comparative assessment of generative AI performance in lung cancer diagnostics
Li‐Hua Huang, Anqi Lin, Haitao Li et al.
2025 · 1 Zit.
An Interpretable Machine Learning Model for Identifying Granulation Patterns in Somatotroph Tumors: A Multi-Center Radiomics Study
J. Wang, L. Chen, Qiya He et al.
2026 · 0 Zit.
AI-powered pathobiology transformers predict prognosis and targeted therapy benefits in patients with colorectal cancer ovarian metastases: a multicohort study
Yuanxin Zhang, Delin Tan, Jieru Zhang et al.
2025 · 0 Zit.
Constructing and validating a risk prediction model for postoperative bleeding after colorectal EMR in the Chinese population: a machine learning-based study
Binfeng He, Jiawei Zhang, Mingli Su et al.
2025 · 0 Zit.