Large language models (LLMs), such as the model behind OpenAI's popular platform ChatGPT, have been found to successfully ...

Observational studies are critical tools in clinical research and public health response, but challenges arise in ensuring ...

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Based on this, we introduce a novel Observational Learning Paradigm (OraL) for UHCD by mimicking fully supervised paradigms. OraL comprises two sequential stages: Observation, which designs a ...

Action observation (AO) is widely used as a post-stroke therapy to activate sensorimotor circuits through the mirror neuron system. However, passive observation is often considered to be less ...

Here, we will review evidence for distributed brain network activation during motor execution, observation, and imagery in human neuroimaging studies as well as the potential for cerebellar ...

The goal of this project is to develop an interactive learning-from-observation (LfO) system in the service-robot domain so as to empower senior citizens to achieve more and enhance their lives.

SCHARR is tackling some of the world’s biggest health challenges to improve the lives of people in the UK and around the world. Join PhD student Lucy Burke in this online webinar where she explores ...

Despite calls for more “real-world evidence” from observational comparative effectiveness (CE) studies, including from regulatory agencies, Circulation publishes relatively few papers using these ...