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Learning on the job: using Artificial Intelligence to support rapid review methods

التفاصيل البيبلوغرافية
العنوان: Learning on the job: using Artificial Intelligence to support rapid review methods
المؤلفون: Kristin Rogers, Leah Hagerman, Sarah Neil-Sztramko, Maureen Dobbins
المصدر: Journal of the Medical Library Association, Vol 112, Iss 2 (2024)
بيانات النشر: University Library System, University of Pittsburgh, 2024.
سنة النشر: 2024
المجموعة: LCC:Bibliography. Library science. Information resources
LCC:Medicine
مصطلحات موضوعية: public health, rapid review, Artificial Intelligence, Bibliography. Library science. Information resources, Medicine
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1536-5050
1558-9439
Relation: http://jmla.pitt.edu/ojs/jmla/article/view/1868; https://doaj.org/toc/1536-5050; https://doaj.org/toc/1558-9439
DOI: 10.5195/jmla.2024.1868
URL الوصول: https://doaj.org/article/eaf58eff67f74d0093a125cfdc976df9
رقم الانضمام: edsdoj.f58eff67f74d0093a125cfdc976df9
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:15365050
15589439
DOI:10.5195/jmla.2024.1868