A cross-sectional study assessing artifical intelligence guidelines in dermatology journals: Implications and recommendations for authors and reviewers Journal Article

   

Authors:	Ong, M. M.; Rotemberg, V.; Gillis, M. C.; Connolly, K. L.
Article Title:	A cross-sectional study assessing artifical intelligence guidelines in dermatology journals: Implications and recommendations for authors and reviewers
Keywords:	practice guideline; publication; artificial intelligence; medical research; data analysis; research; cross-sectional study; dermatology; writing; research ethics; scientific literature; machine learning; human; article; large language model; chatgpt
Journal Title:	Journal of the American Academy of Dermatology
Volume:	92
Issue:	6
ISSN:	0190-9622
Publisher:	Mosby Elsevier
Date Published:	2025-06-01
Start Page:	1450
End Page:	1451
Language:	English
DOI:	10.1016/j.jaad.2025.02.051
PUBMED:	39993580
PROVIDER:	scopus
PMCID:	PMC12101931
DOI/URL:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-105000062654&doi=10.1016%2fj.jaad.2025.02.051&partnerID=40&md5=f611b73ad81080eddcb1b7527a06e25f
Notes:	Article -- MSK Cancer Center Support Grant (P30 CA008748) acknowledged in PubMed and PDF -- MSK corresponding author is SKaren Connolly -- Source: Scopus

https://synapse.mskcc.org/synapse/works/has_related_data_chk/225673