March 3, 2026Open Access

The Phases of Living Evidence Synthesis Using AI: Living Evidence Synthesis (Version 1)

Key Points

Improved efficiency and accuracy were observed in living evidence synthesis using AI tools, enhancing overall research quality.
The analysis highlighted performance metrics, achieving high accuracy, recall, and F1-scores, although precision varied between tools.
Assessment involves data extraction and risk of bias evaluation, utilizing advanced AI and semiautomated methods for optimal results.
Living evidence synthesis benefits from technology, suggesting more reliable outcomes for ongoing and future research efforts.

Abstract

AI and semiautomated tools primarily facilitate data extraction or collection and risk of bias assessment. The use of AI or semiautomated tools in LE synthesis improves efficiency, leading to high accuracy, recall, and F1-scores, while precision varies across tools.

The Phases of Living Evidence Synthesis Using AI: Living Evidence Synthesis (Version 1)

Key Points

Abstract

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