Central South University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Enhancing academic writing skills and motivation: assessing the efficacy of ChatGPT in AI-assisted language learning for EFL students
Cuiping Song, Yanping Song
2023 · 458 Zit.
Artificial Intelligence Augmentation of Radiologist Performance in Distinguishing COVID-19 from Pneumonia of Other Origin at Chest CT
Harrison X. Bai, Robin Wang, Zeng Xiong et al.
2020 · 399 Zit.
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
Xi Ouyang, Jiayu Huo, Liming Xia et al.
2020 · 385 Zit.
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Zhicheng Jiao, Ji Whae Choi, Kasey Halsey et al.
2021 · 122 Zit.
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman et al.
2024 · 121 Zit.
Interpretability of Clinical Decision Support Systems Based on Artificial Intelligence from Technological and Medical Perspective: A Systematic Review
Qian Xu, Wenzhao Xie, Bolin Liao et al.
2023 · 107 Zit.
N-Sanitization: A semantic privacy-preserving framework for unstructured medical datasets
Celestine Iwendi, Syed Atif Moqurrab, Adeel Anjum et al.
2020 · 78 Zit.
Current Status of ChatGPT Use in Medical Education: Potentials, Challenges, and Strategies
Tianhui Xu, Huiting Weng, Fang Liu et al.
2024 · 58 Zit.
Concordance Study Between IBM Watson for Oncology and Real Clinical Practice for Cervical Cancer Patients in China: A Retrospective Analysis
Fangwen Zou, Yifang Tang, Chaoyuan Liu et al.
2020 · 53 Zit.
Application of ChatGPT-assisted problem-based learning teaching method in clinical medical education
Hui Zeng, Zewu Zhu, Jiao Hu et al.
2025 · 49 Zit.
ChatGPT encounters multiple opportunities and challenges in neurosurgery
Yi-Rui Kuang, Ming‐Xiang Zou, Hua-Qing Niu et al.
2023 · 47 Zit.
Artificial intelligence for optimizing recruitment and retention in clinical trials: a scoping review
Xiaoran Lu, Yang Chen, Lu Liang et al.
2024 · 45 Zit.
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation
Ling‐Li Zeng, Kai Gao, Dewen Hu et al.
2023 · 44 Zit.
A deep-learning-based framework for severity assessment of COVID-19 with CT images
Zhidan Li, Shixuan Zhao, Yang Chen et al.
2021 · 42 Zit.
COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data
Jianhong Cheng, John Sollee, Celina Hsieh et al.
2022 · 40 Zit.