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This work is licensed under a Creative Commons Attribution 4.0 International License.
SR-Screen-AI: An Explainable Rule-Based AI-Assisted Decision Support System for Human-in-the-Loop Systematic Literature Review Screening
Sruthi R, Rajeev P R
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Abstract: Systematic literature review screening requires assessment of bibliographic records against predefined criteria. This paper presents SR-Screen-AI, an explainable rule-based AI-assisted decision-support system integrating import, duplicate detection, weighted screening, explanations, reviewer validation, and reporting. Eight software tests passed, and a 50-record baseline trial achieved 81.82% precision, 90.00% recall, and 85.71% F1-score, supporting transparent reviewer-controlled screening.
Keywords: Artificial intelligence, Decision support systems, Explainable artificial intelligence, Human-in-the-loop, Literature screening, Rule-based systems, Systematic literature review
Keywords: Artificial intelligence, Decision support systems, Explainable artificial intelligence, Human-in-the-loop, Literature screening, Rule-based systems, Systematic literature review
How to Cite:
[1] Sruthi R, Rajeev P R, “SR-Screen-AI: An Explainable Rule-Based AI-Assisted Decision Support System for Human-in-the-Loop Systematic Literature Review Screening,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.151035
This work is licensed under a Creative Commons Attribution 4.0 International License.