Third People's Hospital of Chengdu

Development and validation of a machine learning-derived radiomics model for diagnosis of osteoporosis and osteopenia using quantitative computed tomography

Qianrong Xie, Yue Chen, Yimei Hu et al.

2022 · 47 Zit.

A large language model improves clinicians’ diagnostic performance in complex critical illness cases

Xing Wu, Yü Huang, Qing He

2025 · 22 Zit.

A CT-based machine learning model for using clinical-radiomics to predict malignant cerebral edema after stroke: a two-center study

Lingfeng Zhang, Gang Xie, Yue Zhang et al.

2024 · 11 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.

Diagnostic performance of the ultrasound -based artificial intelligence diagnostic system in predicting cervical lymph node metastasis in patients with thyroid cancer: A systematic review and meta-analysis

Xueyao Tang, Hong Zhou, Liu Ying et al.

2025 · 8 Zit.

Artificial intelligence in anesthesia and perioperative medicine

Qin Fei, Yufeng Zhang, Chao Liu et al.

2025 · 4 Zit.

Utilisation of AI-driven chatbots for perioperative health information seeking: a descriptive qualitative study of orthopaedic patients and family members

Tao Chen, Qiang Li, Deng Zhao et al.

2025 · 2 Zit.

Developing Nurse‐Accessible Hypertension Prediction Tools for Low‐Income Populations: A Comparative Analysis of Machine Learning Algorithms With SHAP Interpretation

Chuan Huang, Jiaojiao Xu, Hai Bo Qiu et al.

2025 · 2 Zit.

Diagnostic performance of newly developed large language models in critical illness cases: A comparative study

Xing Wu, Yu Huang, Qing He

2025 · 0 Zit.

[Current status of artificial intelligence application in the field of heart failure].

Yingchuan You, Gangliang Huang, Yan Bing Zhang et al.

2021 · 0 Zit.