Raquel González-Alday studied Biotechnology and Artificial Intelligence at the Universidad Politécnica de Madrid. During her time there, she worked in the Artificial Intelligence Department, where she conducted research in Artificial Intelligence and computer vision techniques applied to medicine, along with exploring the field of Explainable Artificial Intelligence. Currently, she works as a predoctoral researcher at the Instituto de Investigaciones Biomédicas Alberto Sols (CSIC-UAM), where she applies her expertise in Artificial Intelligence to the field of MRI.

Esteban García-Cuesta is Associate Professor of the Artificial Intelligence Department at Universidad Politécnica de Madrid. His teaching and research activities have been linked since its inception to the area of artificial intelligence and computer science. He worked as a visiting researcher at Carnegie Mellon University in 2007, 2009 (pre-doctoral) and 2010 (post-doctoral), and Rowan University in 2008, where he developed part of his research studies to obtain his doctorate from the Carlos III University of Madrid in the field of Computer Science. He actively participates in international conferences and journals in the field of AI, both as an author and reviewer. His research topics mainly include: machine learning, artificial intelligence, dimensionality reduction and space embedding, explainable AI, and affective computing, with over 50 publications.

Casimir A. Kulikowski is a Board of Governors Professor of Computer Science, Rutgers University, and a Member of the US National Academy of Medicine, Fellow of AAAI, AAAS, ACMI, AIMBE, IAHSI, IEEE and IMIA (Hon). He was Vice-President of IMIA from 2001 to 2012, and is Vice-Chair of the IMIA History Working Group. A researcher in pattern recognition and AI and its biomedical applications since 1968, he has contributed to many investigations in biomedical informatics, and a wide range of AI technologies involving diagnostic and control instrumentation and systems with over 300 publications.

Victor Maojo is a Professor of Artificial Intelligence at the Universidad Politecnica de Madrid, Spain. After obtaining his PhD in Computer Science, he was a visiting professor at Georgia Tech, and a Research Fellow at Harvard University/MIT. He is currently a member of the Editorial Board of journals such as JAMIA. His scientific interests are focused on AI in medicine and on topics such as knowledge engineering, ontologies, medical imaging and machine learning, with around 250 publications in the field. He is a Fellow of ACMI, IAHSI and a member of the Royal Academy of Medicine of Spain.