Introduction Systematic reviews in precision oncology rely on screening thousands of articles to identify randomized controlled trials that evaluate targeted therapies, biomarkers, and patient outcomes. This manual annotation process is labor-intensive, time-consuming, and susceptible to variability across reviewers. Large language models (LLMs) offer rapid classification and data extraction, but their reliability can be uneven without…