Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: An Australian cohort study

J Eur Acad Dermatol Venereol. 2024 Nov 5. doi: 10.1111/jdv.20412. Online ahead of print.

Authors

Nicholas M Muller^{1

2}, Chantal Rutjes¹, Samuel X Tan^{1

2}, Nisal Vipulaguna¹, Ayooluwatomiwa Oloruntoba³, Toan Nguyen³, Lena von Schuckmann^{1

2

4}, Brigid Betz-Stablein¹, Kiarash Khosrotehrani^{1

2}, Zongyuan Ge³, H Peter Soyer¹, Ian Katz⁵

Affiliations

¹ Dermatology Research Centre, Frazer Institute, The University of Queensland, Brisbane, Australia.
² Department of Dermatology, Princess Alexandra Hospital, Brisbane, Australia.
³ Monash Medical AI Group, Faculty of Information Technology, Monash University, Melbourne, Australia.
⁴ Department of Dermatology, Sunshine Coast University Hospital, Birtinya, Australia.
⁵ Southern Sun Pathology, Sydney, Australia.

PMID: 39498995
DOI: 10.1111/jdv.20412

No abstract available

Publication types

Letter

Grants and funding

Skin Cancer College Australasia