National Central University
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The Potential of Generative Artificial Intelligence Across Disciplines: Perspectives and Future Directions
Keng‐Boon Ooi, Garry Wei‐Han Tan, Mostafa Al‐Emran et al.
2023 · 598 Zit.
Human-centered artificial intelligence in education: Seeing the invisible through the visible
Stephen J.H. Yang, Hiroaki Ogata, Tatsunori Matsui et al.
2021 · 341 Zit.
Optimization the Initial Weights of Artificial Neural Networks via Genetic Algorithm Applied to Hip Bone Fracture Prediction
Yu‐Tzu Chang, Jinn Lin, Jiann-Shing Shieh et al.
2012 · 60 Zit.
Natural Language Processing Enhances Prediction of Functional Outcome After Acute Ischemic Stroke
Sheng‐Feng Sung, Chih‐Hao Chen, Ru‐Chiou Pan et al.
2021 · 31 Zit.
An approach to the diagnosis of lumbar disc herniation using deep learning models
Ardha Ardea Prisilla, Yue Leon Guo, Yih‐Kuen Jan et al.
2023 · 30 Zit.
Enhancing Nurse–Robot Engagement: Two-Wave Survey Study
Gen‐Yih Liao, Tzu‐Ling Huang, May‐Kuen Wong et al.
2022 · 12 Zit.
The Implementation of Precision Education for Learning Analytics
Jian-Xuan Weng, Anna Y.Q. Huang, Owen H.T. Lu et al.
2020 · 7 Zit.
ChatGPT for Software Development: Opportunities and Challenges
Wahyu Rahmaniar
2023 · 5 Zit.
Building AI literacy for humanities students: teaching beyond generative AI
Bruno Galmar
2024 · 4 Zit.
Artificial Intelligence Image Recognition System for Preventing Wrong-Site Upper Limb Surgery
Yichao Wu, Chao-Yun Chang, Yu-Tse Huang et al.
2023 · 4 Zit.
Performance vs. Privacy: Evaluating the Performance of Predicting Second Primary Cancer in Lung Cancer Survivors with Privacy-preserving Approaches
Jui-Fu Hong, Yi‐Ju Tseng
2022 · 3 Zit.
ChatGPT for Software Development: Opportunities and Challenges
Wahyu Rahmaniar
2023 · 3 Zit.
Adoption of Generative Artificial Intelligence: The Roles of Perceived Usefulness, Self-Efficacy, and Workload
Yann‐Jy Yang, Shengchun Yang, Kejiang Wu et al.
2025 · 2 Zit.
More Women, Same Stereotypes: Unpacking the Gender Bias Paradox in Large Language Models
Evan Chen, Run-Jun Zhan, Yu Lin et al.
2025 · 2 Zit.
Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records
Hong Dai, Tatheer Hussain Mir, Ching-Tai Chen et al.
2025 · 1 Zit.