Generalized linear mixed models are ideal for experiments in which many participants respond to many items – but standard power analysis tools rarely fit such designs. Our tutorial in Advances in Methods and Practices in Psychological Science shows, step by step and with code, how to plan sample sizes by simulation.
Out of 84 candidate products, only seven regulated AI-enabled clinical decision support systems for mental healthcare met our inclusion criteria – and the scientific evidence behind them is thin. Our product review in Artificial Intelligence in Medicine.
Two five-day diary studies with university students show that perceived ease of use and usefulness go hand in hand with more intensive AI chatbot use – but stable differences between students and day-to-day fluctuations tell different stories.
Artificial intelligence–enabled clinical decision support systems (AI-CDSSs) offer potential for improving health care outcomes, but their adoption among health care practitioners remains limited. The meta-analysis identified predictors influencing health care practitioners’ intention to use AI-CDSSs based on the Unified Theory of Acceptance and Use of Technology (UTAUT). Additional predictors were examined based on existing empirical evidence.
In two conjoint experiments with almost 1,900 US participants, people clearly preferred a dermatologist over an AI-enabled app for skin cancer screening – but cost, expertise, privacy, and medical mistrust also shaped their choices.