Shanghai Sixth People's Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Artificial intelligence in diabetes management: Advancements, opportunities, and challenges
Zhouyu Guan, Huating Li, Ruhan Liu et al.
2023 · 238 Zit.
AI in medical education: medical student perception, curriculum recommendations and design suggestions
Qianying Li, Yunhao Qin
2023 · 105 Zit.
Artificial intelligence for diabetes care: current and future prospects
Bin Sheng, Krithi Pushpanathan, Zhouyu Guan et al.
2024 · 78 Zit.
Prediction of lung metastases in thyroid cancer using machine learning based on <scp>SEER</scp> database
Wenfei Liu, Shoufei Wang, Ziheng Ye et al.
2022 · 64 Zit.
Large language models for diabetes care: Potentials and prospects
Bin Sheng, Zhouyu Guan, Lee‐Ling Lim et al.
2024 · 53 Zit.
Twenty-Five Years of Evolution and Hurdles in Electronic Health Records and Interoperability in Medical Research: Comprehensive Review
Yun Shen, Jiamin Yu, Jian Zhou et al.
2024 · 32 Zit.
Deep learning in knee imaging: a systematic review utilizing a Checklist for Artificial Intelligence in Medical Imaging (CLAIM)
Liping Si, Jingyu Zhong, Jiayu Huo et al.
2021 · 29 Zit.
Bone Morphogenetic Protein for the Healing of Tibial Fracture: A Meta-Analysis of Randomized Controlled Trials
Jiezhi Dai, Li Li, Chaoyin Jiang et al.
2015 · 26 Zit.
Overlooked and underpowered: a meta-research addressing sample size in radiomics prediction models for binary outcomes
Jingyu Zhong, Xian‐Wei Liu, Junjie Lu et al.
2025 · 17 Zit.
The endorsement of general and artificial intelligence reporting guidelines in radiological journals: a meta-research study
Jingyu Zhong, Yue Xing, Junjie Lu et al.
2023 · 14 Zit.
Expert consensus on Prospective Precision Diagnosis and Treatment Strategies for Osteoporotic Fractures
Yan Hu, Xiaoqun Li, Xiao Chen et al.
2024 · 8 Zit.
The policies on the use of large language models in radiological journals are lacking: a meta-research study
Jingyu Zhong, Yue Xing, Yangfan Hu et al.
2024 · 8 Zit.
Improving diagnostic precision in thyroid nodule segmentation from ultrasound images with a self-attention mechanism-based Swin U-Net model
Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz et al.
2025 · 7 Zit.
Bone age assessment based on three-dimensional ultrasound and artificial intelligence compared with paediatrician-read radiographic bone age: protocol for a prospective, diagnostic accuracy study
Li Chen, Bolun Zeng, Jian Shen et al.
2024 · 6 Zit.
A novel deep learning method to segment parathyroid glands on intraoperative videos of thyroid surgery
Tian Sang, Yu Fan, Junjuan Zhao et al.
2024 · 6 Zit.