Scoping Review

Scoping reviews systematically map the existing literature on a specific research topic, identifying key themes, gaps, and methodological approaches. Current research heavily utilizes scoping reviews to explore the applications and ethical implications of large language models (LLMs) across diverse fields, including healthcare, education, and gaming, often focusing on model performance, bias, and data limitations. These reviews are crucial for informing future research directions and guiding the responsible development and deployment of AI technologies, particularly in sensitive areas like healthcare where ethical considerations are paramount. The resulting insights contribute significantly to both the scientific understanding of these technologies and their practical implementation.