Harnessing the Power of ChatGPT for Automating Systematic Review Process: Methodology, Case Study, Limitations, and Future Directions
Florida A&M University - Florida State University College of Engineering · Hong Kong Polytechnic University · +1 more institution
Abstract
Systematic reviews (SR) are crucial in synthesizing and analyzing existing scientific literature to inform evidence-based decision-making. However, traditional SR methods often have limitations, including a lack of automation and decision support, resulting in time-consuming and error-prone reviews. To address these limitations and drive the field forward, we harness the power of the revolutionary language model, ChatGPT, which has demonstrated remarkable capabilities in various scientific writing tasks. By utilizing ChatGPT’s natural language processing abilities, our objective is to automate and streamline the steps involved in traditional SR, explicitly focusing on literature search, screening, data…
Citation impact
- FWCI
- 7.43
- Percentile
- 100%
- References
- 51
Authors
5- AAAhmad Alshami
Florida A&M University - Florida State University College of Engineering
- MEMoustafa Elsayed
Florida A&M University - Florida State University College of Engineering
- EAEslam AliCorresponding
Hong Kong Polytechnic University, Cairo University
- AEAbdelrahman E. E. EltoukhyCorresponding
Hong Kong Polytechnic University
- TZTarek Zayed
Hong Kong Polytechnic University
Topics & keywords
- Computer science
- Data science
- Automation
- Robustness (evolution)
- Field (mathematics)
- Process (computing)
- Categorization
- Data extraction
- Clean water and sanitation