Scientific Session on Thursday, November 14th
Year: 2025
Type: article
Abstract: The scientific session encompassed a range of topics centred around the application of technology to advance healthcare and medical education. David Naguib’s presentation explored the potential and challenges of using artificial intelligence (AI) in electronic health record-(EHR-)based pharmacovigilance in Germany and Egypt to improve adverse drug reactions (ADR) detection. Mariam Barseghyan and colleagues discussed a digital intervention using the ICOnnecta’t App to address the psychological impact of breast cancer and premature menopause. Tatul Saghatelyan and colleagues presented the successful pilot implementation of a mobile mammographic screening program in Armenia, highlighting its IT infrastructure and impact on early detection. Arman Darbinyan and colleagues detailed the use of deep learning for automatic electrocardiography (ECG) and mammography analysis to detect cardiovascular diseases and cancer. Arsen Arakelyan introduced the Armenian Genome Project as a pathway to personalized medicine, focusing on characterizing the Armenian genome and its implications for health. Finally, Ozar Mintser’s presentation addressed AI-powered learning technologies and the knowledge tracing problem in medical education, advocating for proactive educational strategies. Overall, the session showcased diverse applications of AI and digital platforms in screening, diagnosis, monitoring, and education across different medical fields and geographical contexts.
DOI: 10.25929/53v2-pb33
Authors: Gerdes, Martin, Fernandes, Fara Aninha
Institutions: University of Agder, Deggendorf Institute of Technology
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W7104265657
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