Скачать или смотреть AI in systematic review: accuracy, efficiency and performance

Emily Hardy (Consultant – Systematic Review, Petauri Evidence) introduces two ISPOR Europe research posters our evidence synthesis experts have been working on – both exploring the role of AI in systematic review.

🧠 Poster 1: Traditional versus generative AI: A rapid systematic review assessing accuracy and efficiency of AI in title/abstract screening
• Assesses the accuracy and efficiency of AI tools for title/abstract screening in SLRs supporting HEOR
• Identifies factors influencing AI tool performance
📍 Emily will present this research during Poster Session 5 on Wednesday 12th November
Download the poster at: https://petauri.com/accuracy-efficien...

🤖 Poster 2: Performance of large language model clinical data extraction by data domain: A rapid systematic review
• Collates studies on LLM-based clinical data extraction
• Explores performance by data domain and influencing factors
📍 Emily will present this research during Poster Session 4 on Tuesday 11th November
Download the poster at: https://petauri.com/slr-large-languag...

Come and find Emily and the wider Petauri team at Booth 608 - we’d love to talk about AI, systematic review innovation, and the future of evidence synthesis.