Dear Colleagues,

Explainable Artificial Intelligence (XAI) is an approach in AI that prioritizes the transparency and interpretability of decision-making processes. In the field of biomedicine, XAI has the potential to revolutionize the way that medical diagnosis, treatment and research are conducted.

One of the main benefits of XAI in biomedicine is its ability to provide insight into the decision-making processes of AI models. This is especially important in medical applications where human lives are at stake and thus when it is critical to understand how AI models reach their conclusions. XAI can help to ensure that decisions made by AI are not just accurate, but also understandable and trustworthy. Moreover, XAI can help to ensure that any potential biases are detected and addressed, thus improving the quality and fairness of medical decisions. Another area where XAI has potential application in biomedicine is in the development of personalised medicine. XAI can be used to identify complex patterns in patient data that are not easily discernible to human doctors. This can help to provide a more individualised approach to patient care and lead to better health outcomes.

This special issue aims to collect articles on the application of XAI in different areas of biomedicine.

Dr. Nguyen Quoc Khanh Le

Guest Editor