A Comparison of Explanations Given by Explainable Artificial Intelligence Methods on Analysing Electronic Health Records. - Jamie Andrew Duell; Xiuyi Fan; Bruce Burnett; Gert Aarts; Shang-Ming Zhou (BHI, 2021)

ExMed: An AI Tool for Experimenting Explainable AI Techniques on Medical Data Analytics. - Marcin Kapcia; Hassan Eshkiki; Jamie Andrew Duell; Xiuyi Fan; Shang-Ming Zhou; Benjamin Mora (ICTAI, 2021)

A Comparative Approach to Explainable Artificial Intelligence Methods in Application to High-Dimensional Electronic Health Records: Examining the Usability of XAI. - Jamie Andrew Duell (CoRR, 2021)

Towards a Shapley Value Graph Framework for Medical peer-influence. - Jamie Andrew Duell; Monika Seisenberger; Gert Aarts; Shang-Ming Zhou; Xiuyi Fan (CoRR, 2021)

Towards Polynomial Adaptive Local Explanations for Healthcare Classifiers. - Jamie Andrew Duell; Xiuyi Fan; Monika Seisenberger (ISMIS, 2022)

Batch Integrated Gradients: Explanations for Temporal Electronic Health Records. - Jamie Andrew Duell; Xiuyi Fan; Hsuan Fu; Monika Seisenberger (AIME, 2023)

Counterfactual-Integrated Gradients: Counterfactual Feature Attribution for Medical Records. - Jamie Andrew Duell; Monika Seisenberger; Xiuyi Fan (BIBM, 2023)

A Formal Introduction to Batch-Integrated Gradients for Temporal Explanations. - Jamie Andrew Duell; Monika Seisenberger; Tianlong Zhong; Hsuan Fu; Xiuyi Fan (ICTAI, 2023)

QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations. - Jamie Andrew Duell; Monika Seisenberger; Hsuan Fu; Xiuyi Fan (ICDM, 2024)

Advancing AI Literacy in Medical Education: A Medical AI Competency Framework Development. - Chang Cai; Jamie Andrew Duell; Daisy Minghui Chen; Weng Kin Ho; Bernett Teck Kwong Lee; Fang Li; Siyuan Liu 003; Olivia Ng; Vidya Sudarshan; Shang-Ming Zhou; Gaoxia Zhu; Xiuyi Fan (AIED (5), 2025)