Comprehensive Meta-Analysis (CMA): This software is widely used for meta-analysis and provides a user-friendly interface. While it may not have built-in AI features, researchers can use external tools or scripts for advanced analyses.
Python, with its extensive libraries such as Pandas, NumPy, and SciPy, provides powerful tools for data analysis and manipulation. Additionally, Python offers machine learning libraries like scikit-learn, which can be used to develop AI-enhanced meta-analysis methodologies. Sheyda Najafvand