Chengdu University of Information Technology
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
Personalising Explainable Recommendations: Literature and Conceptualisation
Mohammad Naiseh, Nan Jiang, Jianbing Ma et al.
2020 · 38 Zit.
Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks
Mohammad Naiseh, Nan Jiang, Jianbing Ma et al.
2020 · 20 Zit.
A multicenter prospective study on postoperative pulmonary complications prediction in geriatric patients with deep neural network model
Xiran Peng, Tao Zhu, Guo Chen et al.
2022 · 14 Zit.
Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability
Xuechao Hao, Yaqiang Wang, Ke Li et al.
2025 · 4 Zit.
LLM-MedQA: Enhancing Medical Question Answering through Case Studies in Large Language Models
Hang Yang, Hao Chen, Guo Hui et al.
2025 · 3 Zit.
Kidney medicine meets computer vision: a bibliometric analysis
Junren Chen, Rui Chen, Liangyin Chen et al.
2024 · 3 Zit.
RETRACTED ARTICLE: Design of artificial intelligence volleyball teaching intelligent assistant system based on artificial muscle integrated optical equipment
Feng Liu, Xiaochuan Hang
2024 · 2 Zit.
ChatGPT-based Research on the Influence of AI on English Translation
Yuanliang Deng
2024 · 1 Zit.
Rethinking evolution and application of artificial intelligence for perioperative medicine
Yaqiang Wang, Xuechao Hao, Ruihao Zhou et al.
2025 · 1 Zit.
A Preliminary Study on Preoperative Data Sentenceization for Postoperative Major Adverse Cardiovascular Event Prediction
Yuelin Luo, Yuyi Wang, Xiran Peng et al.
2025 · 0 Zit.
Autonomous Question Formation for Large Language Model-Driven AI Systems
Hong Myung Su
2026 · 0 Zit.
Can artificial intelligence applications increase the intensity of corporate R&D investment? —Based on a dual perspective of operational risk and financing constraints
Ruyi Jiang, Shiying Xu
2025 · 0 Zit.
A two-step structural equation modeling and explainable machine learning framework for understanding university students’ adoption of generative AI: balancing intrinsic motivations and perceived risks
Daixing Zeng, Xiaoqin Xu, Tianxing Zhu et al.
2026 · 0 Zit.
Cooperation among Multiple Medical Institutions on Breast Cancer Survival Status Prediction Based on Federated Learning and Monte Carlo Trees Search
Qi Chang, Lin Fan, You Wu et al.
2025 · 0 Zit.
A Preoperative Data Sentenceization Method for Postoperative Major Adverse Cardiovascular Event Prediction
Yuelin Luo, Yaqiang Wang, Xiran Peng et al.
2025 · 0 Zit.