Ве молиме користете го овој идентификатор да го цитирате или поврзете овој запис: http://hdl.handle.net/20.500.12188/34121
DC FieldValueLanguage
dc.contributor.authorNigro, Mattiaen_US
dc.contributor.authorAliverti, Andreaen_US
dc.contributor.authorAngelucci, Alessandraen_US
dc.contributor.authorBraido, Fulvioen_US
dc.contributor.authorCanonica, Giorgio Wen_US
dc.contributor.authorBossios, Apostolosen_US
dc.contributor.authorPinnock, Hilaryen_US
dc.contributor.authorBoyd, Jeanetteen_US
dc.contributor.authorPowell, Pippaen_US
dc.contributor.authorAliberti, Stefanoen_US
dc.contributor.authorMijakoski, Draganen_US
dc.date.accessioned2025-10-06T13:26:57Z-
dc.date.available2025-10-06T13:26:57Z-
dc.date.issued2025-09-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/34121-
dc.description.abstractAsthma is a prevalent chronic respiratory disease requiring ongoing patient education and individualized management. The increasing reliance on digital tools, particularly generative artificial intelligence (AI), to answer health-related questions has raised concerns about the accuracy, reliability, and comprehensibility of AI-generated information for people living with asthma.en_US
dc.language.isoenen_US
dc.publisherElsevier BVen_US
dc.relation.ispartofThe Journal of Allergy and Clinical Immunology: In Practiceen_US
dc.titleArtificial Intelligence-Generated Answers to Patients' Questions on Asthma: The Artificial Intelligence Responses on Asthma Studyen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jaip.2025.04.051-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S2213219825004209?httpAccept=text/xml-
dc.identifier.urlhttps://api.elsevier.com/content/article/PII:S2213219825004209?httpAccept=text/plain-
dc.identifier.volume13-
dc.identifier.issue9-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Medicine-
Appears in Collections:Faculty of Medicine: Journal Articles
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