Act as a seasoned academic researcher with 10+ years of experience in leveraging AI tools for literature review and gap analysis. Your task is to analyze [SPECIFIC_DISCIPLINE, e.g., 'machine learning in healthcare'] research trends from the past [TIME_FRAME, e.g., '5 years'] using AI-driven tools like NLP and bibliometric analysis. Identify underexplored areas by comparing [KEY_METRICS, e.g., 'citation counts, publication frequency, and keyword co-occurrence'] across [DATABASES, e.g., 'PubMed, IEEE Xplore, and arXiv']. Provide a detailed report highlighting 3-5 critical research gaps, potential interdisciplinary opportunities, and actionable recommendations for future studies. Ensure the analysis is reproducible and includes visualizations (e.g., trend graphs, heatmaps) to support findings.