Ruijin Hospital
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia et al.
2020 · 386 Zit.
ChatGPT Performs on the Chinese National Medical Licensing Examination
Xinyi Wang, Zhenye Gong, Guoxin Wang et al.
2023 · 135 Zit.
To do no harm — and the most good — with AI in health care
Carey Beth Goldberg, Laura Adams, David Blumenthal et al.
2024 · 69 Zit.
Transforming free-text radiology reports into structured reports using ChatGPT: A study on thyroid ultrasonography
Huan Jiang, Shujun Xia, Yixuan Yang et al.
2024 · 46 Zit.
Artificial Intelligence in Decision-Making for Colorectal Cancer Treatment Strategy: An Observational Study of Implementing Watson for Oncology in a 250-Case Cohort
Batuer Aikemu, Pei Xue, Hiju Hong et al.
2021 · 33 Zit.
ChatGPT: when the artificial intelligence meets standardized patients in clinical training
Xiaoni Liu, Chaoling Wu, Rui Lai et al.
2023 · 33 Zit.
Multi-Attribute Attention Network for Interpretable Diagnosis of Thyroid Nodules in Ultrasound Images
Van Manh, Jianqiao Zhou, Xiaohong Jia et al.
2022 · 31 Zit.
Regulatory responses and approval status of artificial intelligence medical devices with a focus on China
Yuehua Liu, Wenjin Yu, Tharam S. Dillon
2024 · 29 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.
Generalizability and Diagnostic Performance of AI Models for Thyroid US
Wenwen Xu, Xiaohong Jia, Zihan Mei et al.
2023 · 28 Zit.
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia et al.
2020 · 25 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 · 20 Zit.
iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients
Jun Wang, Chen Liu, Jingwen Li et al.
2021 · 17 Zit.
A bibliometric analysis of the application of artificial intelligence to advance individualized diagnosis and treatment of critical illness
Yang-Xi Liu, Cheng Zhu, WU Zhi-xiong et al.
2022 · 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 · 15 Zit.