The guidelines below provide an overview of initial submission requirements for NEJM AI. Most article types are subject to peer review, and certain article types — such as reviews and editorials — are usually solicited by NEJM AI editors, though unsolicited submissions may be considered.
If a paper is selected for review and potential acceptance for publication, NEJM AI will likely request updated materials that adhere to stricter guidelines. When submitting new manuscripts to NEJM AI, all authors must meet the criteria for authorship established by the International Committee of Medical Journal Editors (ICMJE) and the manuscript must be classified as one of the article types listed below.
Manuscript word-count limits include all information from introduction through conclusion or discussion. They exclude abstracts, figure legends, and table notes.
Original Article (peer reviewed)
Reports of original research including clinical trials of AI or AI assisted diagnosis or therapy, or pre-clinical with breakthrough technology, new medical AI applications, and other rigorous evaluations of medical AI.
Elements:
● Abstract
● 1-2 sentence description
● Maximum words: 3,000
● Up to 5 tables and figures
● Up to 50 references
● Authors: up to 50
Datasets, Benchmarks, and Protocols (peer reviewed)
Reports describing new datasets, shared benchmarks for the medical machine learning community, and reproducible or novel protocols or study designs that could be adapted for other trials.
Elements:
● Abstract
● 1-2 sentence description
● Maximum words: 3,000
● Up to 5 tables and figures
● Up to 40 references
● Authors: up to 10
First-person account of the implementation challenges and lessons learned from a specific deployment of medical AI.
Elements
● Abstract
● 1-2 sentence description
● Maximum words: 2,000
● Up to 5 tables and figures
● Up to 40 references
● Authors: up to 10
A peer-reviewed article of clinically-relevant new machine learning methods, emerging application, and educational topic areas that speaks to both machine learning researchers and clinical audiences.
Elements
● Abstract
● 1-2 sentence description
● Maximum words: 3,000
● Up to 5 tables and figures
● Up to 75 references
● Authors: up to 10
Perspective (peer reviewed)
Covers timely, relevant topics in health care and medicine related to AI in a brief, accessible style
Elements
● Abstract
● 1-2 sentence description
● Maximum words: 1,200 words
● Up to 1 central figure/table
● Up to 5 references
● Authors: up to 5
Policy Corner (peer reviewed)
Longer commentary article that speaks to policy issues around medical AI from perspective of multiple stakeholders (e.g. payers, providers, and patients).
Elements
● Abstract
● 1-2 sentence description
● Maximum words: 2,000
● Up to 2 central figures/tables
● Up to 15 references
● Authors: Up to 7
Editorial (not peer reviewed)
Commentary and context for a published original article.
Elements
● Abstract
● 1-2 sentence description
● Maximum words: 1,000
● No tables or figures
● No references
● Authors: up to 5