Nanjing University of Information Science and Technology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
DisCOV: Distributed COVID-19 Detection on X-Ray Images With Edge-Cloud Collaboration
Xiaolong Xu, Hao Tian, Xuyun Zhang et al.
2022 · 104 Zit.
Use of ChatGPT: What does it mean for biology and environmental science?
Evgenios Agathokleous, Costas J. Saitanis, Chao Fang et al.
2023 · 92 Zit.
Stacked-autoencoder-based model for COVID-19 diagnosis on CT images
Daqiu Li, Zhangjie Fu, Jun Xu
2020 · 56 Zit.
Global Collaboration in Artificial Intelligence: Bibliometrics and Network Analysis from 1985 to 2019
Haotian Hu, Dongbo Wang, Sanhong Deng
2020 · 30 Zit.
Benchmarking Large Language Models in Evidence-Based Medicine
Jin Li, Yiyan Deng, Qi Sun et al.
2024 · 23 Zit.
Recent advances in artificial intelligence generated content
Junping Zhang, Lingyun Sun, Cong Jin et al.
2024 · 12 Zit.
Comprehensive AI Model Development for Gleason Grading: From Scanning, Cloud-Based Annotation to Pathologist-AI Interaction
Xinmi Huo, Kok Haur Ong, Kah Weng Lau et al.
2022 · 5 Zit.
Automated novelty evaluation of academic paper: A collaborative approach integrating human and large language model knowledge
Wenqing Wu, Chengzhi Zhang, Yi Zhao
2025 · 5 Zit.
Human Behavior Recognition: Semantics-Based Text Copy Detection Method
Yang Liu, Jie Xi
2015 · 2 Zit.
A Novel Text Copy Detection Method based on Semantic Feature
Jianjun Zhang, Xingming Sun, Jin Wang
2014 · 2 Zit.
Multimodal Metaverse Healthcare: A Collaborative Representation and Adaptive Fusion Approach for Generative Artificial-Intelligence-Driven Diagnosis
Jianhui Lv, Adam Słowik, Shalli Rani et al.
2025 · 2 Zit.
Performance improvement of atherosclerosis risk assessment based on feature interaction
Mengdie Yang, Lidan He, Wenjun Liu et al.
2024 · 1 Zit.
Comprehensive AI Model Development for Gleason Grading:From Scanning, Cloud-based Annotation to Pathologist-AI Interaction
Xinmi Huo, KokHaur ONG, Kah Weng Lau et al.
2022 · 1 Zit.
Adapting LLMs for biomedical natural language processing: a comprehensive benchmark study on fine-tuning methods
Junjie Zhu, Jin Li, Shen Zhao et al.
2026 · 0 Zit.
Adapting LLMs for Biomedical Natural Language Processing: A Comprehensive Benchmark Study on Fine-Tuning Methods
Jin Li, Junjie Zhu, Shen Zhao et al.
2025 · 0 Zit.