Nanfang Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
A deep learning–machine learning fusion approach for the classification of benign, malignant, and intermediate bone tumors
Renyi Liu, Derun Pan, Yuan Xu et al.
2021 · 61 Zit.
A fully autonomous robotic ultrasound system for thyroid scanning
Kang Su, Jingwei Liu, Xiaoqi Ren et al.
2024 · 57 Zit.
STAGER checklist: Standardized testing and assessment guidelines for evaluating generative artificial intelligence reliability
Jinghong Chen, Lingxuan Zhu, Weiming Mou et al.
2024 · 29 Zit.
Qwen-2.5 Outperforms Other Large Language Models in the Chinese National Nursing Licensing Examination: Retrospective Cross-Sectional Comparative Study
Shiben Zhu, Wanqin Hu, Yang Zhi et al.
2024 · 23 Zit.
Foundation Model for Predicting Prognosis and Adjuvant Therapy Benefit From Digital Pathology in GI Cancers
Xiyue Wang, Yuming Jiang, Sen Yang et al.
2025 · 19 Zit.
A comprehensive AI model development framework for consistent Gleason grading
Xinmi Huo, Kok Haur Ong, Kah Weng Lau et al.
2024 · 18 Zit.
Leveraging foundation and large language models in medical artificial intelligence
Io Nam Wong, Olivia Monteiro, Daniel T. Baptista‐Hon et al.
2024 · 18 Zit.
Advancing digital health in China: Aligning challenges, opportunities, and solutions with the Global Initiative on Digital Health (GIDH)
Ge Wu, Mengchun Gong, You Wu et al.
2024 · 17 Zit.
Medical image fusion based on machine learning for health diagnosis and monitoring of colorectal cancer
Peng Yifeng, Haijun Deng
2024 · 17 Zit.
Large language models in clinical trials: applications, technical advances, and future directions
Anqi Lin, Zhihan Wang, Aimin Jiang et al.
2025 · 12 Zit.
Evaluating the potential risks of employing large language models in peer review
Lingxuan Zhu, Yancheng Lai, Jiarui Xie et al.
2025 · 6 Zit.
Artificial intelligence for clinical oncology: current status and future outlook
Yuming Jiang, Ruijiang Li, Guoxin Li
2023 · 6 Zit.
Evaluating generative AI models for explainable pathological feature extraction in lung adenocarcinoma: grading assessment and prognostic model construction
Junyi Shen, Suyin Feng, Zhenfa Zhang et al.
2025 · 6 Zit.
Temporal evolution of large language models (LLMs) in oncology
Zilin Qiu, Aimin Jiang, Qi Chang et al.
2025 · 5 Zit.
Performance analysis of large language models in multi-disease detection from chest computed tomography reports: a comparative study
Peng Luo, Chaofan Fan, Anghua Li et al.
2025 · 4 Zit.