The internet has become a popular resource to learn about health and to investigate one's
own health condition. However, given the large amount of inaccurate information online …

Numerous studies and practical experiences with risk have demonstrated the importance of
risk perceptions for people's behavior. In this narrative review, we describe and reflect upon …

Several countries have successfully reduced their COVID-19 infection rate early, while
others have been overwhelmed. The reasons for the differences are complex, but response …

Companies have recently begun to sell a new service to patients considering in vitro
fertilization: embryo selection based on polygenic scores (ESPS). These scores represent …

The literature on artificial intelligence (AI) or machine learning (ML) in mental health and
psychiatry lacks consensus on what “explainability” means. In the more general XAI …

The Internet has evolved into a ubiquitous and indispensable digital environment in which
people communicate, seek information, and make decisions. Despite offering various …

In recent years, policy makers worldwide have begun to acknowledge the potential value of
insights from psychology and behavioral economics into how people make decisions. These …

In recent years, a plethora of high-profile scientific publications has been reporting about
machine learning algorithms outperforming clinicians in medical diagnosis or treatment …

This article gives a mathematically rigorous yet easily accessible introduction to Bayes'
theorem and the foundations of naive Bayes learning. Starting from the fundamental …

Clinical applications of machine learning algorithms: beyond the black box | The BMJ Skip to
main content Intended for healthcare professionals Access provided by Google Indexer …