Challenges of Trustable AI and Added-Value on Health

B. Séroussi (1, 2) , Patrick Weber (3) , Ferdinand Dhombres (2, 1) , Cyril Grouin (4, 5) , Jan-David Liebe (6) , Sylvia Pelayo (7) , Andrea Pinna (2) , Bastien Rance (8) , Lucia Sacchi (9) , Adrien Ugon (10, 2) , Arriel Benis (11) , Parisis Gallos (12)

1 LIMICS - Laboratoire d'Informatique Médicale et Ingénierie des Connaissances en e-Santé
2 SU - Sorbonne Université
3 Nice Computing [Lausanne]
4 STL - Sciences et Technologies des Langues - LISN
5 LISN - Laboratoire Interdisciplinaire des Sciences du Numérique
6 Medical School Hamburg
7 CIC Lille - Centre d'Investigation Clinique - Innovation Technologique de Lille - CIC 1403 - CIC 9301
8 HeKA - Health data- and model- driven Knowledge Acquisition
9 UNIPV - Università degli Studi di Pavia = University of Pavia
10 ESIEE Paris
11 HIT - Holon Institut of Technology
12 University of Piraeus

Artificial Intelligence (AI) in healthcare promises to improve the accuracy of diagnosis and screening, support clinical care, and assist in various public health interventions such as disease surveillance, outbreak response, and health system management. But the increasing importance of AI in healthcare means that trustworthy AI is vital to achieve the beneficial impacts on health anticipated by both health professionals and patients. This book presents the proceedings of the 32nd Medical Informatics Europe Conference (MIE2022), organized by the European Federation for Medical Informatics (EFMI) and held from 27 - 30 May 2022 in Nice, France. The theme of the conference was Challenges of Trustable AI and Added-Value on Health. Over 400 submissions were received from 43 countries, and were reviewed in a thorough process by at least three reviewers before being assessed by an SPC co-chair, with papers requiring major revision undergoing further review. Included here are 147 full papers (acceptance rate 54%), 23 short papers and 79 posters from the conference. Topics covered include the usual sub-domains of biomedical informatics: decision support and clinical information systems; clinical research informatics; knowledge management and representation; consumer health informatics; natural language processing; public health informatics; and privacy, ethical and societal aspects, but also innovative approaches to the collection, such as organization and analysis of data and knowledge related to health and wellbeing, as well as theoretical and applied contributions to AI methods and algorithms. Providing an overview of the latest developments in medical informatics, the book will be of interest to all those involved in the development and provision of healthcare today.

Domaines: Informatique [cs]; Sciences du Vivant [q-bio]

B. Séroussi, Patrick Weber, Ferdinand Dhombres, Cyril Grouin, Jan-David Liebe, et al.. Challenges of Trustable AI and Added-Value on Health: Proceedings of MIE2022, Nice, France. European Federation for Medical Informatics, Studies in Health Technology and Informatics, 294, 2022, 978-1-64368-285-3. ⟨hal-04003722⟩