Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying
out autonomous tasks. In Human-Robot Interaction, human actors benefit from …

Natural language processing (NLP) is a subfield of artificial intelligence devoted to
understanding and generation of language. The recent advances in NLP technologies are …

Abstract Background and Objective To examine whether the use of natural language
processing (NLP) technology is effective in assisting rapid title and abstract screening when …

Objective Evidence-based medicine (EBM) is a decision-making process based on the
conscious and judicious use of the best available scientific evidence. However, the …

In the past years, network meta‐analysis (NMA) has been widely used among clinicians,
guideline makers, and health technology assessment agencies and has played an important …

PURPOSE Quantifying the risk of cancer associated with pathogenic mutations in germline
cancer susceptibility genes—that is, penetrance—enables the personalization of preventive …

Background The large and increasing number of new studies published each year is making
literature identification in systematic reviews ever more time-consuming and costly …

To become user driven and more useful for decision-making, the current evidence synthesis
ecosystem requires significant changes (Paper 1. Future of evidence ecosystem series) …

To evaluate the performance accuracy and workload savings of artificial intelligence (AI)-
based automation tools in comparison with human reviewers in medical literature screening …

Importance: Systematic reviews are time-consuming and are still performed predominately
manually by researchers despite the exponential growth of scientific literature. Objective: To …