Research and adoption
Publications
The research behind otto-SR and the studies using it.
Cite otto-SR
Cao, C., Arora, R., Cento, P., et al. (2025). Automation of systematic reviews with large language models. medRxiv. https://doi.org/10.1101/2025.06.13.25329541
Applications
Research using otto-SR
Independent reviews and meta-analyses using otto-SR in evidence synthesis.
Effect of Prostate Cancer Screening with Prostate-specific Antigen Testing on Long-term Prostate Cancer-specific Mortality: A Systematic Review and Meta-analysis of Randomized Controlled Trials
A meta-analysis using otto-SR-validated screening and data extraction, finding high-certainty evidence that PSA-based screening reduced prostate cancer-specific mortality over 11-23 years.
View citationEffects of Polygenic Risk Score Communication on Short-term Health Outcomes: A Systematic Review and Meta-analysis
A systematic review and meta-analysis of 27 randomized trials on polygenic risk score communication, where otto-SR surfaced an eligible study that the original human reviewers had missed.
View citationResearch
Research from otto-SR
Primary research and commentary directly from the otto-SR team.
Development of Prompt Templates for Large Language Model–Driven Screening in Systematic Reviews
Peer-reviewed validation of LLM-driven abstract and full-text screening prompts for systematic reviews.
Read the articleConducting Systematic Reviews in a Day: Enter Artificial Intelligence
A perspective on the role of AI in reducing the time required to complete systematic reviews.
Read the article