Background Research suggests that digital ageism, that is, age-related bias, is present in
the development and deployment of machine learning (ML) models. Despite the recognition …

With the significant advancements of Large Language Models (LLMs) in the field of Natural
Language Processing (NLP), the development of image-text multimodal models has …

Fatness sits at the intersection of many systems of oppression, such as race, gender, class,
and (dis) ability. Anti-fat bias happens out in the open and is prevalent in Western society …

The aim of the current study was to access the intersectional link between aging and
different contextual determinants, such as social class, gender identity, sexual orientation …

Abstract Introduction Ages and Stages Questionnaires: Social-Emotional Second Edition or
ASQ: SE2 is a set of questionnaires to identify the social-emotional development of children …

The rapid growth of the aging population and the increasing digitization of processes and
services have underscored the necessity for the digital inclusion of older adults. This …

Artificial Intelligence (AI) enabled technologies are increasingly being applied in all sectors
of our society. 1-7 Its application in medicine and dentistry has demonstrated significant …

This research delves into the profound impact of digitization on modern workplaces,
conducting an extensive examination of its multifaceted effects on employees. Employing a …

Abstract The integration of Large Language Models (LLMs) such as GPT-4 and Gemini into
healthcare, particularly for elderly care, represents a significant opportunity in the use of …

Artificial Intelligence (AI) is increasingly being applied in the health and aging domain in
recent decades. These interdisciplinary research efforts and the application of AI …