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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

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2021 · 545 Zit.

“Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System Deployment

Dakuo Wang, Liuping Wang, Zhan Zhang et al.

2021 · 173 Zit.

Effect of AI Explanations on Human Perceptions of Patient-Facing AI-Powered Healthcare Systems

Zhan Zhang, Yegin Genc, Dakuo Wang et al.

2021 · 87 Zit.

Human-centered design and evaluation of AI-empowered clinical decision support systems: a systematic review

Liuping Wang, Zhan Zhang, Dakuo Wang et al.

2023 · 69 Zit.

PrivateDL: Privacy‐preserving collaborative deep learning against leakage from gradient sharing

Qi Zhao, Chuan Zhao, Shujie Cui et al.

2020 · 42 Zit.

Lay individuals' perceptions of artificial intelligence (<scp>AI</scp>)‐empowered healthcare systems

Zhan Zhang, Yegin Genc, Aiwen Xing et al.

2020 · 34 Zit.

RecruitPro: A Pretrained Language Model with Skill-Aware Prompt Learning for Intelligent Recruitment

Chuyu Fang, Chuan Qin, Qi Zhang et al.

2023 · 31 Zit.

Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes

Umer Farooq, Shahid Naseem, Tariq Mahmood et al.

2024 · 28 Zit.

Expert recommendation on collection, storage, annotation, and management of data related to medical artificial intelligence

Yahan Yang, Ruiyang Li, Yifan Xiang et al.

2021 · 12 Zit.

Research on the Influencing Factors of User Trust Based on Artificial Intelligence Self Diagnosis System

Weiheng Li, Xiangmin Fan, He Zhu et al.

2020 · 8 Zit.

CoAD: Automatic Diagnosis through Symptom and Disease Collaborative Generation

Huimin Wang, Wai Chung Kwan, Kam‐Fai Wong et al.

2023 · 8 Zit.

A Driving License for Intelligent Systems

Martin Kandlhofer, Gerald Steinbauer

2018 · 8 Zit.

Integrating Large Language Models into Medication Management in Remote Healthcare: Current Applications, Challenges, and Future Prospects

Ho Yan Kwan, Jethro Shell, Conor Fahy et al.

2025 · 8 Zit.

A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models

Junjie Yang, Jiajun Jiang, Zeyu Sun et al.

2024 · 4 Zit.

SGBoost<sup>+</sup>: Efficient and Privacy-Preserving Vertical Boosting Trees for Federated Outsourced Training and Inference

Wei Xu, Hui Zhu, Jiaqi Zhao et al.

2025 · 1 Zit.