Large language models detect methodological errors that human peer review misses in clinical trials

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RxRegistration IDNº
R0MD5 hash (of R3):46da84dd896e47151a6ab7d4d611099c
R1Registration number (on editorialia.com, in WordPress):dmeditorialiawp.32762
R2Date-p-order (ddmmyyyypx): 10112026p1
R3Cid (combined id R1+R2):dmeditorialiawp.3276210112026p1
R4Official resource title:Large language models detect methodological errors that human peer review misses in clinical trials
R5Publisher:medRxiv
R6Resource website (1) ( #OpenAccess | #Openscience ): https://www.medrxiv.org/content/10.64898/2026.10.25.26366455v2
R8Collection (to which the resource belongs):Medicine (Paper)
R9DOI:10.64898/2026.10.25.26366455
R12Authors (separated by commas):Dominikus Brian, Xavier Isidro Pereira Hernández, Hao Yin, Jeffrey Koury, Ruslan Rust
R14Keyword (selected from the tags applied to this entry):=research
R15QR code (for the Editorialia entry):QR code for this Editorialia entry
R16Time stamp URL:
R17Digital signature URL:Pending signature

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