Toward transparent and accountable artificial intelligence in systematic review appraisal

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dc.contributor.authorRattanapitoon N.K.
dc.contributor.authorThanchonnang C.
dc.contributor.authorRattanapitoon S.K.
dc.contributor.correspondenceRattanapitoon N.K.
dc.contributor.otherMahidol University
dc.date.accessioned2026-01-01T18:10:12Z
dc.date.available2026-01-01T18:10:12Z
dc.date.issued2025-01-01
dc.identifier.citationJournal of Clinical Epidemiology (2025)
dc.identifier.doi10.1016/j.jclinepi.2025.112026
dc.identifier.eissn18785921
dc.identifier.issn08954356
dc.identifier.pmid41235983
dc.identifier.scopus2-s2.0-105025014351
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/113711
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleToward transparent and accountable artificial intelligence in systematic review appraisal
dc.typeLetter
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=105025014351&origin=inward
oaire.citation.titleJournal of Clinical Epidemiology
oairecerif.author.affiliationMahidol University
oairecerif.author.affiliationFMC Medical Center

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