Artificial Intelligence (AI) agents are predicted to infiltrate most industries within the next
decade, creating a personal, industrial, and social shift towards the new technology. As a …

Researchers are defining new types of interactions between humans and machine learning
algorithms generically called human-in-the-loop machine learning. Depending on who is in …

Background Major adverse cardiovascular events (MACE) are increasingly used as
composite outcomes in randomized controlled trials (RCTs) and observational studies …

Artificial intelligence (AI) is beginning to transform traditional research practices in many
areas. In this context, literature reviews stand out because they operate on large and rapidly …

Nature‐based solutions (NbS) to climate change currently have considerable political
traction. However, national intentions to deploy NbS have yet to be fully translated into …

To help researchers conduct a systematic review or meta-analysis as efficiently and
transparently as possible, we designed a tool to accelerate the step of screening titles and …

Machine learning (ML) models are now routinely deployed in domains ranging from criminal
justice to healthcare. With this newfound ubiquity, ML has moved beyond academia and …

Ocean warming, primarily resulting from the escalating levels of greenhouse gases in the
atmosphere, leads to a rise in the temperature of the Earth's oceans. These gases act as …

In this comprehensive systematic review and meta-analysis of group design studies of
nonpharmacological early interventions designed for young children with autism spectrum …

Artificial intelligence (AI) has acquired notorious relevance in modern computing as it
effectively solves complex tasks traditionally done by humans. AI provides methods to …