The Application of Artificial Intelligence to Article Screening in Systematic Reviews

Video Transcription

Video Summary

In this webinar, James discusses the implications of artificial intelligence for article screening in systematic reviews. He highlights the challenges of the labor-intensive process and the time-consuming nature of systematic review construction. James explores the use of traditional machine learning techniques like active learning and popular tools such as ASReview. He also introduces the concept of large language models like ChatGPT, which offer more versatility and efficiency in the systematic review process. James demonstrates a tool he developed called Review Copilot, powered by GPT-4, which automates tasks like screening articles based on predefined criteria. He emphasizes the importance of calibrating the tool and testing its performance before full deployment. Attendees are intrigued by the potential time-saving benefits of using AI in systematic reviews and express interest in exploring and using the tool. James concludes the webinar, highlighting the benefits of AI in streamlining the systematic review process and enhancing research efficiency.

Keywords

artificial intelligence

article screening

systematic reviews

machine learning techniques

ASReview

large language models

Review Copilot

time-saving benefits