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University of Leicester

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Meistzitierte Publikationen im Bereich Gesundheit & MedTech

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

Ahmed Salih, Zahra Raisi‐Estabragh, Ilaria Boscolo Galazzo et al.

2024 · 471 Zit.

Accuracy of online symptom checkers and the potential impact on service utilisation

Adam Ceney, Stephanie Tolond, Andrzej Glowinski et al.

2021 · 126 Zit.

Explaining deep neural networks: A survey on the global interpretation methods

Rabia Saleem, Bo Yuan, Fatih Kurugöllü et al.

2022 · 115 Zit.

Data Safe Havens in health research and healthcare

Paul R. Burton, Madeleine J. Murtagh, Andy Boyd et al.

2015 · 75 Zit.

Mitigating Racial And Ethnic Bias And Advancing Health Equity In Clinical Algorithms: A Scoping Review

Michael P. Cary, Anna Zink, Sijia Wei et al.

2023 · 72 Zit.

A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges

Ibomoiye Domor Mienye, George Obaido, Nobert Jere et al.

2024 · 69 Zit.

Responsible AI in Africa—Challenges and Opportunities

Chinasa T. Okolo, Kehinde Aruleba, George Obaido

2023 · 61 Zit.

Hybrid Deep‐Learning and Machine‐Learning Models for Predicting COVID‐19

Talal S. Qaid, Hussein Mazaar, Mohammad Yahya H. Al-Shamri et al.

2021 · 48 Zit.

Stakeholder Perspectives on the Ethics of AI in Distance-Based Higher Education

W. Holmes, Francisco Iniesto, Stamatina Anastopoulou et al.

2023 · 45 Zit.

Mixed Machine Learning Approach for Efficient Prediction of Human Heart Disease by Identifying the Numerical and Categorical Features

Ghulab Nabi Ahmad, Shafiullah, Hira Fatima et al.

2022 · 42 Zit.

To ChatGPT, or not to ChatGPT: Navigating the paradoxes of generative AI in the advertising industry

Elena Osadchaya, Ben Marder, Jennifer A. Yule et al.

2024 · 40 Zit.

Transfer learning for accurate fetal organ classification from ultrasound images: a potential tool for maternal healthcare providers

Haifa Ghabri, Mohammed S. Alqahtani, Ben Othman Soufiene et al.

2023 · 36 Zit.

Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection

Siddharth Agarwal, David Wood, Mariusz Grzeda et al.

2023 · 36 Zit.

Increased perioperative mortality following aprotinin withdrawal: a real-world analysis of blood management strategies in adult cardiac surgery

Graham J. Walkden, Veerle Verheyden, Rosalind Goudie et al.

2013 · 35 Zit.

Evaluating Explainable Artificial Intelligence (XAI) techniques in chest radiology imaging through a human-centered Lens

Izegbua E. Ihongbe, Shereen Fouad, Taha F. Mahmoud et al.

2024 · 30 Zit.