Artificial Intelligence in Literature Search and Evidence Synthesis: Applications, Opportunities, Challenges, and Ethical Considerations: A Systematic Review Protocol
Year: 2026
Type: review
Abstract: The exponential growth of scientific publications across academic disciplines has significantly increased the complexity of literature searching and evidence synthesis. Traditional systematic review processes are rigorous but frequently require extensive time, human resources, and methodological expertise. Artificial intelligence (AI) technologies, including machine learning, natural language processing (NLP), and large language models (LLMs), are increasingly being integrated into literature review workflows to improve efficiency, scalability, and decision-making during evidence synthesis.
Author: Paul Hassan Ilegbusi
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7166326407