Using Artificial Intelligence for Literature Reviews

Literature reviews are known to be time-consuming. From finding the articles to reading and analyzing all the components of the publications, it can take a long time to conduct a literature review. However, AI-based tools can help researchers speed up the process.

In recent years, using AI for literature reviews has gained significant importance in academic research. Specifically, AI tools have revolutionized how scholars and students explore various sources, offering cutting-edge capabilities to fine-tune search terms and sift through full-text articles with ease. For instance, AI-powered suggestions help researchers identify relevant scholarly articles and research papers, streamlining the development of a thorough literature review. Tools like Semantic Scholar and Connected Papers provide insightful citation contexts and connect related research which saves time and adds detail and precision in summarizing the breadth of existing knowledge.

Conducting a literature review involves summarizing and discussing published ideas from various sources to build a comprehensive view of the current state of research. AI can significantly enhance this process by offering meta-analysis capabilities and helping researchers write summaries that encapsulate the essence of multiple publications. For example, AI can analyze PDF documents and extract key points that help you to write more concise and informative summaries. While all researchers should take responsibility for any AI-generated outputs they end up using in their research you can efficiently navigate through the sea of academic work using AI and save time.