Will AI speed up literature reviews or derail them entirely?
File(s)
Author(s)
Type
Journal Article
Abstract
The publication of ever-larger numbers of problematic papers, including fake ones generated by artificial intelligence, represents an existential crisis for the established way of doing evidence synthesis. But with a new approach, AI might also save the day.
Date Issued
2025-07-10
Date Acceptance
2025-07-01
Citation
Nature, 2025, 643 (8071), pp.329-331
ISSN
0028-0836
Publisher
Nature Research
Start Page
329
End Page
331
Journal / Book Title
Nature
Volume
643
Issue
8071
Copyright Statement
Copyright © 2025 Springer-Verlag. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/40629125
PII: 10.1038/d41586-025-02069-w
Subjects
Biodiversity
COCHRANE REVIEWS
Machine learning
Medical research
Multidisciplinary Sciences
Research data
Science & Technology
Science & Technology - Other Topics
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2025-07-07