China Medical University

Research on orthopedic auxiliary classification and prediction model based on XGBoost algorithm

Shenglong Li, Xiaojing Zhang

2019 · 128 Zit.

Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

Hongmei Wang, Lu Wang, Edward H. Lee et al.

2020 · 99 Zit.

Application of AI and IoT in Clinical Medicine: Summary and Challenges

Zhao-xia Lu, Peng Qian, Dan Bi et al.

2021 · 82 Zit.

A Deep Learning Prognosis Model Help Alert for COVID-19 Patients at High-Risk of Death: A Multi-Center Study

Lingwei Meng, Di Dong, Liang Li et al.

2020 · 79 Zit.

Evaluating the Performance of Different Large Language Models on Health Consultation and Patient Education in Urolithiasis

Haifeng Song, Yi Xia, Zhi‐Chao Luo et al.

2023 · 73 Zit.

Evaluation of large language models in breast cancer clinical scenarios: a comparative analysis based on ChatGPT-3.5, ChatGPT-4.0, and Claude2

Linfang Deng, Tianyi Wang, Yangzhang et al.

2024 · 73 Zit.

Understanding Medical Students’ Perceptions of and Behavioral Intentions toward Learning Artificial Intelligence: A Survey Study

Xin Li, Michael Yi‐Chao Jiang, Morris Siu–Yung Jong et al.

2022 · 72 Zit.

Artificial intelligence in the risk prediction models of cardiovascular disease and development of an independent validation screening tool: a systematic review

Yue Cai, Yuqing Cai, Liying Tang et al.

2024 · 67 Zit.

Explainable AI for Medical Image Analysis in Medical Cyber-Physical Systems: Enhancing Transparency and Trustworthiness of IoMT

Wei Liu, Feng Zhao, Achyut Shankar et al.

2023 · 63 Zit.

Artificial Intelligence in Prenatal Ultrasound Diagnosis

Fujiao He, Yaqin Wang, Yun Xiu et al.

2021 · 53 Zit.

The integration of artificial intelligence into clinical medicine: Trends, challenges, and future directions

Prasanna Sakthi Aravazhi, Padmini Gunasekaran, N. Benjamin et al.

2025 · 47 Zit.

Necessity and Importance of Developing AI in Anesthesia from the Perspective of Clinical Safety and Information Security

Bijia Song, Ming Zhou, Junchao Zhu

2023 · 44 Zit.

<p>Application of Radiomics for Personalized Treatment of Cancer Patients</p>

Yiming Meng, Jing Sun, Na Qu et al.

2019 · 38 Zit.

<p>Mapping Intellectual Structure and Research Performance for the Nanoparticles in Pancreatic Cancer Field</p>

Xuan Zhu, Qingquan Kong, Xing Niu et al.

2020 · 38 Zit.

AbdomenAtlas: A large-scale, detailed-annotated, & multi-center dataset for efficient transfer learning and open algorithmic benchmarking

Wenxuan Li, Chongyu Qu, Xiaoxi Chen et al.

2024 · 34 Zit.