New chapter from Digit-HeaL Laboratory

We are pleased to announce that the book chapter Improving Explanation Measures Inside the Decision-Making Process to Increase the Potential of AI Applications in Healthcare, authored by Luka Poslon, MA, and Assoc. Prof. Dr. Anto Čartolovni, members of our Digital healthcare ethics laboratory (Digit-HeaL) at Catholic University of Croatia, has just been published in the prestigious international volume Explainable Machine Intelligence in Healthcare.

The authors examine how explainable artificial intelligence (xAI) can build greater trust in the use of AI systems in healthcare, particularly in contexts where AI supports clinical decision-making. By embedding explainability within the decision-making process itself, the chapter demonstrates how xAI can help reduce bias, strengthen the patient–physician relationship, and ensure compliance with major regulatory frameworks such as the EU’s GDPR, the U.S. HIPAA, and China’s PIPL.

This chapter offers a significant contribution to the ongoing discourse on the ethical application of AI in healthcare, one of the key areas of AI ethics research today. Its publication by the renowned publisher Springer Verlag highlights the expertise and international recognition of our researchers. Thematically, the chapter integrates technical approaches with ethical, epistemological, and legal perspectives, reflecting the very essence of our research focus.

The book brings together a wide range of contributions exploring both the theoretical and practical aspects of xAI in healthcare, integrating insights from researchers across computer science, medicine, ethics, and the social sciences. Published by Springer Verlag, one of the world’s most prestigious academic publishers, the volume further underscores the quality and international significance of research in the field of AI in healthcare.

More information about our chapter is available at the following link.