University of Leicester

A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME

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

2024 · 565 Zit.

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

Adam Ceney, Stephanie Tolond, Andrzej Glowinski et al.

2021 · 129 Zit.

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

Rabia Saleem, Bo Yuan, Fatih Kurugöllü et al.

2022 · 128 Zit.

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

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

2024 · 101 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 · 76 Zit.

Responsible AI in Africa—Challenges and Opportunities

Chinasa T. Okolo, Kehinde Aruleba, George Obaido

2023 · 64 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 · 50 Zit.

A review of evaluation approaches for explainable AI with applications in cardiology

Ahmed Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra et al.

2024 · 49 Zit.

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

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

2023 · 47 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 · 45 Zit.

Collaboration between explainable artificial intelligence and pulmonologists improves the accuracy of pulmonary function test interpretation

Nilakash Das, Sofie Happaerts, Iwein Gyselinck et al.

2023 · 43 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 · 42 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 · 38 Zit.

The student is key: A realist review of educational interventions to develop analytical and non‐analytical clinical reasoning ability

Anna Richmond, Nicola Cooper, Simon Gay et al.

2020 · 37 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 · 37 Zit.