Article type
Abstract
"Background: Application of artificial intelligence (AI) are an increasingly popular topic and AI has been widely used in various fields. The purpose of living evidence synthesis is to allow rapid collation, appraisal and synthesis of evolving evidence on an important research topic.
Objective: To analyse the application of AI in the living evidence synthesis and the existing relevant AI tools.
Methods: PubMed, Cochrane library, Web of Science, CNKI and CBM were systematicaly searched. Studies related to application of artificial intelligence in living evidence synthesis were retrieved and summarised descriptively. Studies were manually screened and coded by two researchers independently, and any conflicts were discussed with a third researcher.
Results: Ninety studies met the inclusion criteria. Of all 19 studies cover different links of the application of AI in the living evidence synthesis, (1) 8(42.1%) involved the application to living evidence collection, 5 (35.7%) involved the application to living evidence update, 2 (10.5%) involved the application to living evidence synthesis, 4 (21.1%) involved the application to living evidence review, 3 (15.8%) involved the application to living evidence sharing; (2) 9 (47.3%) published in 2023; (3) 14 (73.3%) presented the used or developed AI tools.
Conclusion: AI has been widely used in most of the links of living evidence synthesis, promoting the real-time update and sharing of evidence, but it still needs to be improved in practice. "
Objective: To analyse the application of AI in the living evidence synthesis and the existing relevant AI tools.
Methods: PubMed, Cochrane library, Web of Science, CNKI and CBM were systematicaly searched. Studies related to application of artificial intelligence in living evidence synthesis were retrieved and summarised descriptively. Studies were manually screened and coded by two researchers independently, and any conflicts were discussed with a third researcher.
Results: Ninety studies met the inclusion criteria. Of all 19 studies cover different links of the application of AI in the living evidence synthesis, (1) 8(42.1%) involved the application to living evidence collection, 5 (35.7%) involved the application to living evidence update, 2 (10.5%) involved the application to living evidence synthesis, 4 (21.1%) involved the application to living evidence review, 3 (15.8%) involved the application to living evidence sharing; (2) 9 (47.3%) published in 2023; (3) 14 (73.3%) presented the used or developed AI tools.
Conclusion: AI has been widely used in most of the links of living evidence synthesis, promoting the real-time update and sharing of evidence, but it still needs to be improved in practice. "