Advances in foundation models (FM) have opened the gates to an advanced use of artificial intelligence for healthcare. FMs are an AI system with a great ability to perform accurately on new sets of data or tasks, instead of just memorizing the material it was trained with. Vision-language foundation models (VLFM) are particularly of interest to clinicians as a means to aid in report generation and question answering, with vision-language agents (VLAs) being representative of the next frontier for AI acting in a healthcare space.

Researchers from the Fisabio Foundation and the Universitat Jaume I of Castelló have analysed the potential of generative artificial intelligence (GenAI) to transform nursing research and have developed a set of ten recommendations to promote the responsible use of these tools in the scientific field. Published in the journal Enfermería Clínica, the study examines how generative artificial intelligence can support different stages of the research process, from formulating research questions to conducting literature reviews, analysing information and disseminating results.

research team led by Professor Moon Choi of the Graduate School of Science and Technology Policy quantitatively analyzed “digital ageism” embedded in generative artificial intelligence.

older adults are outwardly described as “wise and caring,” expressions of agency and competence decrease with age.

biases in AI could, through repeated exposure, deepen the social marginalization and digital exclusion of older adults.

 JMIR Publications invites submissions to a new section titled "Technology in Scientific Publishing" in its open access journal JMIR Metascience and Research Integrity