The increasing availability of biomedical data from large biobanks, electronic health records,
medical imaging, wearable and ambient biosensors, and the lower cost of genome and …

Digital innovations in mental health offer great potential, but present unique challenges.
Using a consensus development panel approach, an expert, international, cross-disciplinary …

Background: Large language models exhibiting human-level performance in specialized
tasks are emerging; examples include Generative Pretrained Transformer 3.5, which …

Chatbots are a promising resource for giving students feedback and helping them deploy
metacognitive strategies in their learning processes. In this study we worked with a sample …

In this narrative review, we survey recent empirical evaluations of AI-based language
assessments and present a case for the technology of large language models to be poised …

This paper makes a case for digital mental health and provides insights into how digital
technologies can enhance (but not replace) existing mental health services. We describe …

Increased screen time may cause significant health impacts, including harmful effects on
mental health. Studies on the association between technological obsessions and their …

Purpose We present a systematic literature review of dialogue agents for Artificial
Intelligence (AI) and agent-based conversational systems dealing with cognitive disability of …

Background: The COVID-19 pandemic raised novel challenges in communicating reliable,
continually changing health information to a broad and sometimes skeptical public …

The use of conversational AI agents (CAs), such as Alexa and Siri, has steadily increased
over the past several years. However, the functionality of these agents relies on the personal …