Please use this identifier to cite or link to this item: https://repository.monashhealth.org/monashhealthjspui/handle/1/57918
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dc.contributor.authorMorgan V.en
dc.contributor.authorMorriss S.en
dc.contributor.authorAwad A.en
dc.contributor.authorWong C.en
dc.date.accessioned2026-04-26T23:38:09Z-
dc.date.available2026-04-26T23:38:09Z-
dc.date.copyright2026-
dc.date.issued2026-03-19en
dc.identifier.citationAustralasian Journal of Dermatology. (no pagination), 2026. Date of Publication: 2026.-
dc.identifier.urihttps://repository.monashhealth.org/monashhealthjspui/handle/1/57918-
dc.description.abstractBackground/Objectives: Artificial intelligence (AI) is increasingly relevant to dermatology, yet clinical integration depends on workforce readiness. While the technical performance of AI tools is well described, the perspectives of dermatology trainees, who will shape future adoption, are less well understood. The objective of this study was to investigate Australian dermatology trainees' knowledge, utilisation, and perceptions of AI, and to identify barriers to implementation. Method(s): A national, cross-sectional electronic survey was distributed to all Australian dermatology trainees (n = 118) enrolled with the Australasian College of Dermatologists between February 2025 and June 2025. Outcomes included self-reported familiarity with and use of AI tools, perceived utility across clinical and non-clinical tasks, and perceived barriers to integration. Result(s): Sixty-eight trainees responded (57.6%). Most trainees (81.4%) agreed that AI is likely to become an important tool in dermatology over the next 5-10 years. However, 69.1% reported no formal training. 32.4% had used AI tools, most commonly general-purpose generative AI, with use primarily informal and focused on educational, research, and administrative tasks rather than direct patient care. Commonly reported barriers included legal and ethical considerations (60.3%), concerns regarding reliability (54.4%), and limited training or knowledge (52.9%). Conclusion(s): Australian dermatology trainees express cautious optimism about AI, recognising its potential while identifying practical, educational, and governance-related challenges. Current use is limited and largely non-clinical, reflecting early-stage adoption. These findings highlight opportunities for structured AI literacy and education to support future integration as evidence, governance frameworks, and clinical applications continue to evolve.Copyright © 2026 The Author(s). Australasian Journal of Dermatology published by John Wiley & Sons Australia, Ltd on behalf of Australasian College of Dermatologists.-
dc.publisherJohn Wiley and Sons Inc-
dc.relation.ispartofAustralasian Journal of Dermatology-
dc.titleThe Utility of Artificial Intelligence in Dermatology Training and Practice: A National, Cross-Sectional Study.-
dc.typeArticle In Press-
dc.identifier.affiliationDermatology-
dc.identifier.doihttps://dx.doi.org/10.1111/ajd.70091-
dc.publisher.placeAustralia-
dc.identifier.institution(Morriss, Awad, Morgan, Wong) Department of Dermatology, The Royal Melbourne Hospital, Melbourne, Australia-
dc.identifier.institution-
dc.identifier.institution(Wong) Department of Dermatology, Monash Health, Clayton, Australia-
dc.identifier.institution-
dc.identifier.institution(Wong) Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, Australia-
dc.identifier.institution-
dc.identifier.institution(Wong) Chroma Dermatology, Pigment and Skin of Colour Centre, Melbourne, Australia-
dc.identifier.affiliationmh(Wong) Department of Dermatology, Monash Health, Clayton, Australia-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle In Press-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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