Thematic Section on "Generative AI for Translational Mobility Medicine"

In the mid-90s the advent of the worldwide web was accompanied by great proclamations about a new utopia, a connected world in which borders, differences and deprivations would no longer exist. While the internet has undeniably delivered remarkable benefits, such as granting us access to all of human knowledge at our fingertips, it is hard to argue that its overall impact has been entirely positive. All this, however, has had the rather strange effect of making people angry, encouraging discontent and polarization, encouraging a new wave of anti-science movements and destabilizing democracy and truth. This thematic section centers on two key objectives: first, to define the concept of intelligence—its meaning, origins, and characteristics—and second, to evaluate the current advancements in computer technology, including algorithms capable of autonomous learning and experience-based data accumulation. Much of the discussion centered on the second objective, which has sparked great interest in the possibilities of artificial intelligence (AI). For many scientists and participants to this meeting, this interest comes from the hope—or concern—that AI could bring us closer to achieving ‘supreme knowledge’.

The thematic section titled " Generative AI for Translational Mobility Medicine " offers a platform for disseminating the latest research and innovations in the impact of the AI in the fields of Mobility Medicine. These fields encompass a wide range of conditions, spanning from genetic diseases to orthopedic injuries and peripheral nerve disorders, which have a profound impact on individuals' physical well-being and overall quality of life. To address the evolving challenges and opportunities within these domains, this special issue welcomes original research, reviews, and case studies covering a broad spectrum of mobility-related subjects. Advancements in Mobility Medicine often revolve around optimizing muscle function through tailored exercise programs, innovative therapies, and technology-assisted interventions. Therefore, this special issue places a strong emphasis on the role of Generative AI within the broader context of musculoskeletal and neuromuscular diagnosis, management and rehabilitation.

By exploring recent advances, sharing best practices, discussing emerging trends, and addressing global needs, this thematic section tries to stimulate progress in the fields of musculoskeletal and neuromuscular studies, ultimately contributing to the improvement of the lives of individuals affected by these conditions.

Guest Editors

Prof. Giorgio Fanò-Illic, Interuniversity Institute of Myology, Perugia, Italy; Free University of Alcatraz, Gubbio, Perugia, Italy. E-mail: fanoillic@gmail.com

Eng. Riccardo Forni, Institute for Biomedal and Neural Engineering, Reykjavik University and Department of digital transformation, Landspitali University Hospital, Reykjavík, Iceland. E-mail: riccardo21@ru.is

Article Processing Charge

All articles published in EJTM are published in Open Access. An article processing charge (APC) of 600,00€ applies to Original Articles and Reviews, while 300,00€ applies to Ejtm Communications accepted after peer review. This article processing charge covers the costs of peer review, copyediting, typesetting, and long-term archiving.