Abstract from EHRCON25-openEHR International Conference 2025. The increasing demand for structured high-quality clinical data for AI and decision support systems highlights the shortcomings of current healthcare data infrastructure, particularly its misalignment with FAIR [1] data principles (Findable, …

This chapter aims to raise awareness about the ethical considerations surrounding the use of AI in medical imaging and radiography. It emphasises the importance of integrating both medical ethical principles (beneficence, non-maleficence, respect for autonomy, and justice) and ethical AI principles. …

The use and adoption of Artificial Intelligence (AI) in our society is growing rapidly (Maslej 2025). Alongside this growth, the importance of specific ‘competencies’ that users need to effectively interact with and critically evaluate AI is becoming increasingly important (Long en Magerko 2020). This …

This paper addresses the challenge faced by call center operators supporting family members of individuals with Substance Use Disorders (SUDs), particularly the difficulty of detecting emotional distress in callers during high-pressure interactions. We developed a lightweight, real-time Speech Emotion …

Artificial Intelligence (AI) is transforming workflows across various industries, including life sciences. When deployed securely, generative AI tools can automate structured programming tasks. In clinical research, a significant challenge is converting raw trial data into the formats required for regulatory …

Algorithmic affordances—interactive mechanisms that allow users to exercise tangible control over algorithms—play a crucial role in recommender systems. They can facilitate users’ sense of autonomy, transparency, and ultimately ownership over a recommender’s results, all qualities that are central to …

This presentation explores AI literacy as a critical and situated dimension of Artistic Research (AR), drawing from recent investigation conducted with Master’s students in a discursive artistic AI course at Frank Mohr Institute. Using a structured questionnaire as both a pedagogical and research tool, …

Two modern trends in insurance are data-intensive underwriting and behaviour-based insurance. Data-intensive underwriting means that insurers analyse more data for estimating the claim cost of a consumer and for determining the premium based on that estimation. Insurers also offer behaviour-based insurance. …

The Índice Latinoamericano de Inteligencia Artificial (ILIA) 2025 is the most comprehensive study of AI adoption in Latin America and the Caribbean. RankmyAI contributed data that helped shape indicators on AI web traffic and intensity of use across 19 countries. This article summarizes the main results …