Research, adoption, and coverage

Publications

The research behind otto-SR, the studies using it, and the coverage of the work.

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

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Applications

Research using otto-SR

Independent reviews and meta-analyses using otto-SR in evidence synthesis.

BMJImpact factor 95

Aluminium adjuvants in vaccines and potential health effects: systematic review

A PRISMA systematic review of 59 human studies evaluating potential health effects of aluminium-adjuvanted vaccines, with AI assistance for the 2023-25 update.

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European UrologyImpact factor 25

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.

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Research

Research from otto-SR

Primary research and commentary directly from the otto-SR team.

medRxivPreprint

Automation of Systematic Reviews with Large Language Models

Our latest end-to-end evaluation of otto-SR across screening, full-text review, and data extraction.

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Annals of Internal MedicinePeer-reviewed

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.

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The Journal of Bone & Joint SurgeryPeer-reviewed

Conducting Systematic Reviews in a Day: Enter Artificial Intelligence

A perspective on the role of AI in reducing the time required to complete systematic reviews.

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Coverage

otto-SR in the news

Media and institutional coverage of otto-SR's role in evidence synthesis.

News feature

NatureNews feature

AI slashes time to produce gold-standard medical reviews — but sceptics urge caution

Nature covered otto-SR's two-day reproduction of systematic reviews and the field's need for careful validation.

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STATFeature

Systematic reviews cited retracted articles, new study finds

STAT discussed otto-SR as one possible path toward faster, more rigorous living evidence synthesis.

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University of TorontoNews

Researchers use AI to speed reviews of existing evidence

U of T News profiled the Annals work behind otto-SR's LLM-driven screening approach.

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