[2603.19236] L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI)

Computer Science > Digital Libraries arXiv:2603.19236 (cs) [Submitted on 6 Jan 2026] Title:L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI) Authors:Samar Shailendra, Rajan Kadel, Aakanksha Sharma, Islam Mohammad Tahidul, Urvashi Rahul Saxena View a PDF of the paper titled L-PRISMA: An Extension of PRISMA in the Era of Generative Artificial Intelligence (GenAI), by Samar Shailendra and 4 other authors View PDF HTML (experimental) Abstract: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 ...