Data Collection: AI tools aggregate data from multiple sources such as scientific journals, databases, and preprint servers. Text Mining: NLP techniques are used to extract meaningful information, such as keywords, methodologies, and results, from the collected data. Pattern Recognition: Machine learning algorithms identify patterns and trends in the data, helping researchers understand the current state of the field. Recommendation: AI tools suggest relevant studies, helping researchers focus on the most impactful research.
