L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)

Computer Science > Digital Libraries [Submitted on 6 Jan 2026] L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI) Samar Shailendra, Rajan Kadel, Aakanksha Sharma, Islam Mohammad Tahidul, Urvashi Rahul Saxena The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework provides a rigorous foundation for evidence synthesis, yet the manual processes of data extraction and literature screening remain time-consuming and restrictive. Recent advances in Generative Artificial Intelligence (GenAI), particularly large language models (LLMs), offer opportunities to automate and scale these tasks, thereby improving time and efficiency. However, reproducibility, transparency, and auditability, the core PRISMA principles, are being challenged by the inherent non-determinism of LLMs and the risks of hallucination and bias amplification. To address these limitations, this study integrates human-led synthesis with a GenAI-assisted statistical pre-screening step. Human oversight ensures scientific validity and transparency, while the deterministic nature of the statistical layer enhances reproducibility. The proposed approach systematically enhances PRISMA guidelines, providing a responsible pathway for incorporating GenAI into systematic review workflows. Comments: ICMET 2025 Subjects: Digital Libraries (cs.DL); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR) Cite as: arXiv:2603.19236 [cs.DL]   (or arXiv:2603.19236v1 [cs.DL] for this version)   https://doi.org/10.48550/arXiv.2603.19236 Focus to learn more Submission history From: Samar Shailendra [view email] [v1] Tue, 6 Jan 2026 06:08:20 UTC (264 KB) Access Paper: HTML (experimental) view license Current browse context: cs.DL < prev   |   next > new | recent | 2026-03 Change to browse by: cs cs.AI cs.IR References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)