Shanghai Pulmonary Hospital

Machine learning prediction model of major adverse outcomes after pediatric congenital heart surgery: a retrospective cohort study

Chaoyang Tong, Xinwei Du, Yancheng Chen et al.

2024 · 28 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 · 21 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.

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 · 16 Zit.

Potential Multidisciplinary Use of Large Language Models for Addressing Queries in Cardio‐Oncology

Pengfei Li, Xuejuan Zhang, Erjia Zhu et al.

2024 · 13 Zit.

Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011–2021: A bibliometric analysis

Demeng Xia, Gaoqi Chen, Kaiwen Wu et al.

2022 · 10 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.

Development and validation of risk prediction models for high-risk patients with non-traumatic acute abdominal pain: a prospective observational study

Rui Li, Xiaohui Wei, Xiaoqin Li et al.

2025 · 0 Zit.

Development and validation of machine learning models for predicting functional outcome after low-dose alteplase in the extended time window for acute ischemic stroke

Huiru Chen, Qian Gui, Kangxiang Ji et al.

2026 · 0 Zit.