Review
Open access
Jul 2026
Performance of large language models on screening titles and abstracts of urology-related systematic reviews
Background: Systematic reviews summarize research evidence to inform clinical practice guidelines and health policy, but the review process is labour-intensive. Authors often screen thousands of abstracts to identify relevant studies to include in their review. Large Language Models (LLMs) may improve title and abstrac...
Ata Gungor, Adam D. Klotz, K. Solo et al.
· McMaster University Medical... · 0 citations