Use of Artificial Intelligence in Skin Cancer Diagnosis and Management
Abstract
Medical Journal of AustraliaVolume 213, Issue 6 p. 256-259.e1 Perspectives Use of artificial intelligence in skin cancer diagnosis and management Miki Wada, Miki Wada Monash University, Melbourne, VICSearch for more papers by this authorZongYuan Ge, ZongYuan Ge Monash University, Melbourne, VICSearch for more papers by this authorStephen J Gilmore, Stephen J Gilmore Skin Health Institute, Melbourne, VICSearch for more papers by this authorVictoria J Mar, Corresponding Author Victoria J Mar victoria.mar@monash.edu Monash University, Melbourne, VIC Victorian Melanoma Service, Alfred Hospital, Melbourne, VICvictoria.mar@monash.eduSearch for more papers by this author Miki Wada, Miki Wada Monash University, Melbourne, VICSearch for more papers by this authorZongYuan Ge, ZongYuan Ge Monash University, Melbourne, VICSearch for more papers by this authorStephen J Gilmore, Stephen J Gilmore Skin Health Institute, Melbourne, VICSearch for more papers by this authorVictoria J Mar, Corresponding Author Victoria J Mar victoria.mar@monash.edu Monash University, Melbourne, VIC Victorian Melanoma Service, Alfred Hospital, Melbourne, VICvictoria.mar@monash.eduSearch for more papers by this author First published: 06 September 2020 https://doi.org/10.5694/mja2.50759Citations: 8Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Citing Literature Volume213, Issue6September 2020Pages 256-259.e1 RelatedInformation
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Combining the processing of histopathology images with sequential dermoscopic ones is possible.
“the possibility of combining the processing of histopathology images with sequential dermoscopic ones [53]”
From Artificial Intelligence in the Histopathological Assessment of Non-Neoplastic Skin Disorders: A Narrative Review with Future Perspectives (2025) · cites this paper as [53]
Cites
Hekler, A., Utikal, J. S., Enk, A. H., Solass, W., Schmitt, M., Klode, J., Schadendorf, D., Sondermann, W., Franklin, C., Bestvater, F., et al. (2019) · European Journal of Cancer · doi:10.1016/j.ejca.2019.06.012 · Cited by 285 · see citing works
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Della Mura, M., Sorino, J., Colagrande, A., Daruish, M., Ingravallo, G., Massaro, A., Cazzato, G., Lupo, C., Casatta, N., Ribatti, D., et al. (2025) · Medical Sciences · doi:10.3390/medsci13020070 · Cited by 6 · see citing works
“Important studies highlight the possibility of combining the processing of histopathology images with sequential dermoscopic ones [53], as well as the possibility of applying tomography and AI to reconstruct 3D epidermal cross-sections to indicate a lesion [54–56] or an anomalous vascularization…”
- Authors
- Wada, M., Ge, Z., Gilmore, S. J., & Mar, V. J.
- Affiliations
- Monash University (AU)
- Skin Health Institute (AU)
- The Alfred Hospital (AU)
- Corresponding author
- Mar, Victoria J
- Venue
- Medical Journal of Australia
- Publisher
- Wiley
- Published
- 2020-09
- Volume
- 213
- Issue
- 6
- Pages
- 256
- ISSN
- 0025-729X (ISSN-L)
- 1326-5377
- OpenAlex
- W3083037565
- Cited by
- 22
- References
- 1
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3 · 2023: 6 · 2022: 6 · 2021: 2
- FWCI
- 1.26
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Medical Journal of Australia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Health and Medical Research Council
- Topics
- Health Sciences › Medicine › Oncology › Cutaneous Melanoma Detection and Management
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- artificial intelligence, skin cancer, melanoma, skin cancer diagnosis, skin cancer management, computer-aided diagnosis
- MeSH terms
- Algorithms, Artificial Intelligence, Humans, Melanoma, Nevus, Pigmented, Skin, Skin Neoplasms, Disease Management, Dermoscopy, Early Detection of Cancer
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