Using AI to improve peer review and research integrity in scientific journals
Year: 2026
Type: article
Abstract: Peer review is inefficient, biased, and often ineffective. However, its importance in maintaining research integrity, at a time when the public has less faith in science, is clear, since journals are the principal conduit for communicating the results of research to the scientific community and the public. Given that the number of published manuscripts in the biomedical sciences now exceeds 3 million per year it is no longer possible for human editorial and peer review alone to ensure integrity. New approaches are needed, including the use of artificial intelligence (AI) to assist in editorial and peer review.
Source: Health Affairs Scholar
Authors: Howard Bauchner, Frederick Rivara
Institutions: Boston University, University of Washington
Language: English
Subfield: History and Philosophy of Science
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $3,150
OpenAlex ID: W7128316857