Vol. 3 No. 2 (2025)
Published: October 31, 2025
This Special Issue (Volume 3, Issue 2) of the Journal of Artificial Intelligence and Computing Applications (JAICA) contains the official proceedings of the 2025 International Conference on Artificial Intelligence for Mental Health (ICAIMH 2025), held on July 2–3, 2025, at Universidad Anáhuac Mayab, Mérida, Yucatán, México.
Organized by the Association for the Advancement of Intelligent Applications and Technologies with Social Impact (Maikron), with the support of the Asociación para la Salud Mental de Yucatán (ASMY) and the International Institute for Intelligent Technologies (IIIT), the conference brought together researchers, professionals, and students to explore how artificial intelligence can contribute to mental health understanding, detection, and improvement.
This issue includes ten long papers (three selected for consideration in Inteligencia Artificial and seven published or forthcoming in JAICA), as well as five expanded abstracts. It also features the conference report summarizing the main sessions, invited lectures, and outcomes of ICAIMH 2025. Collectively, these contributions highlight the growing interdisciplinary community working at the intersection of AI and mental health, advancing the use of intelligent technologies for social good.
Artificial Intelligence (AI) is currently a widely used tool, but confusion between humans and computers could lead to erroneous behaviors and attitudes. Specifically in the field of education, AI can...
This study analyzes the visual attention of people with and without social phobia toward different images (photos of faces) depicting emotions such as normality, sadness, anger, and happiness. The ana...
Public speaking anxiety is a significant barrier to academic performance and social integration among university students. Despite its prevalence, research on targeted technological solutions remains...
Mental, neurological, and substance use disorders are highly prevalent worldwide; however, it is estimated that between 75% and 95% of affected individuals lack access to treatment. Therefore, it is e...
Psychological distress is highly prevalent among individuals diagnosed with cancer, yet access to specialist psycho-oncology services remains limited by workforce shortages, geographical barriers, and...