Publicação
Integration of artificial intelligence in chest radiographs in primary care: educational innovation and interdisciplinary collaboration
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 03:Saúde de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| dc.contributor.author | Renda, Marta | |
| dc.contributor.author | Gaudêncio, Nélia | |
| dc.date.accessioned | 2026-09-04T09:11:43Z | |
| dc.date.available | 2026-09-04T09:11:43Z | |
| dc.date.issued | 2026-03-04 | en_US |
| dc.date.updated | 2026-09-03T21:13:25Z | |
| dc.description.abstract | Artificial intelligence (AI) is increasingly integrated into radiological workflows, with most applications developed and validated in hospital-based environments where radiologists are readily available. In these settings, AI has demonstrated its ability to improve workflow efficiency, accelerate image triage, and support safer clinical decision-making, while complementing - rather than replacing - professional expertise [1-3]. | eng |
| dc.description.version | N/A | |
| dc.identifier.doi | 10.26044/ecr2026/C-17063 | en_US |
| dc.identifier.slug | cv-prod-5095291 | |
| dc.identifier.uri | http://hdl.handle.net/10400.1/29394 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | European Society of Radiology | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Lung | |
| dc.subject | Thorax | |
| dc.subject | Digital radiography | |
| dc.subject | Computer Applications-Detection | |
| dc.subject | diagnosis | |
| dc.subject | Diagnostic procedure | |
| dc.subject | Education | |
| dc.subject | Education and training | |
| dc.subject | Image verification | |
| dc.subject | Quality assurance | |
| dc.title | Integration of artificial intelligence in chest radiographs in primary care: educational innovation and interdisciplinary collaboration | eng |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2026 | |
| oaire.citation.issue | C-17063 | |
| oaire.citation.title | EPOS | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Renda | |
| person.familyName | Gaudêncio | |
| person.givenName | Marta | |
| person.givenName | Nélia | |
| person.identifier.orcid | 0000-0001-9379-7212 | |
| person.identifier.orcid | 0000-0003-4545-5722 | |
| rcaap.cv.cienciaid | 691D-E19F-6E9D | Marta Filipa Guerreiro Renda | |
| rcaap.rights | openAccess | en_US |
| relation.isAuthorOfPublication | 98d863c4-1617-48e7-a581-ea3d89545306 | |
| relation.isAuthorOfPublication | 220ea626-c310-4318-8275-33a11dc87a43 | |
| relation.isAuthorOfPublication.latestForDiscovery | 220ea626-c310-4318-8275-33a11dc87a43 |
