The 32nd Medical Informatics Europe Conference, MIE2022, was held in Nice, France, from 27 to 30 May 2022. The Conference was hosted by the European Federation for Medical Informatics (EFMI) and organized by the “MCO Congress”. The Scientific Programme Committee was chaired by Professor Brigitte Séroussi, Sorbonne University, French Association of Medical Informatics (AIM). The overarching theme of MIE2022 was “Challenges of Trustable AI and Added-value on Health” stressing the increasing importance of Artificial Intelligence (AI) in healthcare on the one hand and the need for a trustworthy AI on the other hand, in order to reach the full expected impact of AI on health from both health-professional and patient-centered perspectives.
Developed in the 1970s, the first AI systems were essentially knowledge-based decision support systems. Despite their good performance, these first knowledge-based systems were never routinely used on real patients, and because they were able to explain their reasoning process, most of them turned out to be more beneficial for teaching than for clinical practice. After some “winters”, AI is back, with new machine learning methods that promise to improve the accuracy of diagnosis and screening, support clinical care, and assist various public health interventions such as disease surveillance, outbreak response, and health system management. Naturally, as these new AI systems emerge, concerns arise concerning the level of control that should be conceded when reviewing the pace at which AI methods are introduced. One concern in particular arises from the fact that these new AI systems often work as “black boxes”, and are unable to explain their results. Explainability is critical, however, to respond to patient and practitioner narrative exchanges, and the fact that practitioners, who are responsible for their decisions, cannot easily follow the proposals of AI systems that they disagree with is also a problem.
Throughout this publication, readers will find innovative approaches to the collection, organization, and analysis of data and knowledge related to health and wellbeing, as well as theoretical and applied contributions to AI methods and algorithms. Papers covering the usual subdomains of biomedical informatics (decision support systems, clinical information systems, clinical research informatics, knowledge management and representation, consumer health informatics, natural language processing, bioinformatics, public health informatics, privacy, ethical and societal aspects, etc.) are also offered. The Proceedings are published as an e-book by IOS Press in the series Studies in Health Technology and Informatics (HTI), providing open access for ease of use and browsing without the loss of any of the advantages of indexing and citation, in the major Scientific Literature Databases, such as Medline and Scopus.
Brigitte Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, Sylvia Pelayo, Andrea Pinna, Bastien Rance, Lucia Sacchi, Adrien Ugon, Arriel Benis, Parisis Gallos