805 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Queen Mary University of LondonGB12 papers
- Barts Health NHS TrustGB3 papers
- Universitat Pompeu FabraES3 papers
- University of OxfordGB3 papers
- Health Data Research UKGB2 papers
- King's College LondonGB2 papers
- Stanford UniversityUS2 papers
- St Bartholomew's HospitalGB2 papers
- The Alan Turing InstituteGB2 papers
- Universitat de BarcelonaES2 papers
- University of SheffieldGB2 papers
- University of TorontoCA2 papers
3 papers · 1 filter
"We'll have to see how it works": An interview study to understand collaborative practices in interdisciplinary artificial intelligence and healthcare research
Rafael Henkin, Elizabeth Remfry, Duncan J. Reynolds +2
Developing artificial intelligence (AI) algorithms for healthcare is a collaborative effort, bringing data scientists, clinicians, patients and other stakeholders together. By unde…
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME
Ahmed Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo +4
eXplainable artificial intelligence (XAI) methods have emerged to convert the black box of machine learning (ML) models into a more digestible form. These methods help to communica…
Characterizing the contribution of dependent features in XAI methods
Ahmed Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh +3
Explainable Artificial Intelligence (XAI) provides tools to help understanding how the machine learning models work and reach a specific outcome. It helps to increase the interpret…