Explainable Artificial Intelligence in Biomedicine

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

Manuscripts should be submitted via our online editorial system at https://imr.propub.com by registering and logging in to this website. Once you are registered, click here to start your submission. Manuscripts can be submitted now or up until the deadline. All papers will go through peer-review process. Accepted papers will be published in the journal (as soon as accepted) and meanwhile listed together on the special issue website. Research articles, reviews as well as short communications are preferred. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office to announce on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts will be thoroughly refereed through a double-blind peer-review process. Please visit the Instruction for Authors page before submitting a manuscript. The Article Processing Charge (APC) in this open access journal is 2500 USD. Submitted manuscripts should be well formatted in good English.