Chengdu University of Information Technology

Personalising Explainable Recommendations: Literature and Conceptualisation

Mohammad Naiseh, Nan Jiang, Jianbing Ma et al.

2020 · 39 Zit.

Deep neural networks could differentiate Bethesda class III versus class IV/V/VI

Yi Zhu, Qiang Sang, Shijun Jia et al.

2019 · 23 Zit.

Explainable Recommendations in Intelligent Systems: Delivery Methods, Modalities and Risks

Mohammad Naiseh, Nan Jiang, Jianbing Ma et al.

2020 · 20 Zit.

Kidney medicine meets computer vision: a bibliometric analysis

Junren Chen, Rui Chen, Liangyin Chen et al.

2024 · 4 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.

RETRACTED ARTICLE: Design of artificial intelligence volleyball teaching intelligent assistant system based on artificial muscle integrated optical equipment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.

Bibliometrics of artificial intelligence applications in hepatobiliary surgery from 2014 to 2024

Rujun Zheng, D X Li, Hao-Min Lin et al.

2025 · 2 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 · 1 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.

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.