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Using Artificial Intelligence (AI) to streamline the SR process is a novel approach in medical education with limited studies available. To further add to this groundbreaking approach, this study is proposed to compare the accuracy and efficiency of AI in automating the systematic review process specifically in detecting risk of bias in pre-selected articles. A comparative approach will be used to evaluate two open-source AI programs against human reviewers. Accuracy will be measured by comparing the bias detected by human reviewers versus bias detected by the AI programs. Overall acceptability of review will also be measured.