Kristin Rogers, Leah Hagerman, S. Neil-Sztramko, Maureen Dobbins
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引用次数: 0
Abstract
The National Collaborating Centre for Methods and Tools’ (NCCMT) Rapid Evidence Service conducts rapid reviews on priority questions to respond to the needs of public health decision-makers. Given the vast quantity of literature available, a key challenge of conducting rapid evidence syntheses is the time and effort required to manually screen large search results sets to identify and include all studies relevant to the research question within an accelerated timeline. To overcome this challenge, the NCCMT investigated the integration of artificial intelligence (AI) technologies into the title and abstract screening stage of the rapid review process to expedite the identification of studies relevant to the research question.
The NCCMT is funded by the Public Health Agenda of Canada and affiliated with McMaster University.
国家方法与工具协作中心（NCCMT）的快速证据服务对优先问题进行快速审查，以满足公共卫生决策者的需求。鉴于现有文献数量庞大，进行快速证据综合的一个主要挑战是需要花费大量时间和精力来人工筛选大量搜索结果集，以便在较短的时间内确定并纳入与研究问题相关的所有研究。为了克服这一挑战，NCCMT 研究了将人工智能 (AI) 技术整合到快速审查流程的标题和摘要筛选阶段，以加快识别与研究问题相关的研究。NCCMT 由加拿大公共卫生议程（Public Health Agenda of Canada）资助，隶属于麦克马斯特大学（McMaster University）。
期刊介绍：
ACS Applied Bio Materials is an interdisciplinary journal publishing original research covering all aspects of biomaterials and biointerfaces including and beyond the traditional biosensing, biomedical and therapeutic applications.
The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrates knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important bio applications. The journal is specifically interested in work that addresses the relationship between structure and function and assesses the stability and degradation of materials under relevant environmental and biological conditions.
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