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A Study Protocol for a Comprehensive Evaluation of Two Artificial Intelligence-Based Tools in Title and Abstract Screening for the Development of Evidence-Based Cancer Guidelines

Xiaomei Yao Ashirbani Saha Sharan Saravanan Ashley Low Jonathan Sussman

Cancer Innovation2025，Vol.4Issue(4)：P.37-45,9.

Cancer Innovation2025，Vol.4Issue(4)：P.37-45,9.DOI:10.1002/cai2.70021

A Study Protocol for a Comprehensive Evaluation of Two Artificial Intelligence-Based Tools in Title and Abstract Screening for the Development of Evidence-Based Cancer Guidelines

Xiaomei Yao ¹Ashirbani Saha ²Sharan Saravanan ³Ashley Low ³Jonathan Sussman²

作者信息

1. Department of Health Research Methods,Evidence,and Impact,McMaster University,Hamilton,Ontario,Canada Department of Oncology,McMaster University,Hamilton,Ontario,Canada
2. Department of Oncology,McMaster University,Hamilton,Ontario,Canada
3. Faculty of Health Sciences,McMaster University,Hamilton,Ontario,Canada
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摘要

关键词

abstract screening/artificial intelligence/cancer screening/clinical practice guidelines/DistillerSR/EPPI-reviewer/simulation study/systematic review/workload and time savings

分类

医药卫生

引用本文复制引用

Xiaomei Yao,Ashirbani Saha,Sharan Saravanan,Ashley Low,Jonathan Sussman..A Study Protocol for a Comprehensive Evaluation of Two Artificial Intelligence-Based Tools in Title and Abstract Screening for the Development of Evidence-Based Cancer Guidelines[J].Cancer Innovation,2025,4(4):P.37-45,9.

基金项目

supported by the Hamilton Health Sciences Foundation(RD-241). （RD-241）

Cancer Innovation

ISSN：2770-9191

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