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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

肿瘤学创新（英文）2025，Vol.4Issue(4)：96-104,9.

肿瘤学创新（英文）2025，Vol.4Issue(4)：96-104,9.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 ²Ashley Low ³Jonathan Sussman³

作者信息

1. Department of Health Research Methods,Evidence,and Impact,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

Key words

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

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].肿瘤学创新（英文）,2025,4(4):96-104,9.

基金项目

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

肿瘤学创新（英文）

ISSN：2770-9183

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