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

Nicholas M. Muller; Chantal Rutjes; Samuel X. Tan; Nisal Vipulaguna; Ayooluwatomiwa Oloruntoba; Toan Nguyen; Lena von Schuckmann; Brigid Betz-Stablein; Kiarash Khosrotehrani; Zongyuan Ge; H. Peter Soyer; Ian Katz

doi:10.1111/jdv.20412

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

Nicholas M. Muller, Chantal Rutjes, Samuel X. Tan, Nisal Vipulaguna, Ayooluwatomiwa Oloruntoba, Toan Nguyen, Lena von Schuckmann, Brigid Betz-Stablein, Kiarash Khosrotehrani, Zongyuan Ge, H. Peter Soyer, Ian Katz

Research output: Contribution to journal › Letter › Other

Original language	English
Pages (from-to)	e577-e580
Number of pages	4
Journal	Journal of the European Academy of Dermatology and Venereology
Volume	39
Issue number	7
DOIs	https://doi.org/10.1111/jdv.20412
Publication status	Published - Jul 2025

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10.1111/jdv.20412

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Muller, N. M., Rutjes, C., Tan, S. X., Vipulaguna, N., Oloruntoba, A., Nguyen, T., von Schuckmann, L., Betz-Stablein, B., Khosrotehrani, K., Ge, Z., Soyer, H. P., & Katz, I. (2025). Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: An Australian cohort study. Journal of the European Academy of Dermatology and Venereology, 39(7), e577-e580. https://doi.org/10.1111/jdv.20412

@article{834f1a5cf12e4170991ff118b5f7d4df,

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

author = "Muller, \{Nicholas M.\} and Chantal Rutjes and Tan, \{Samuel X.\} and Nisal Vipulaguna and Ayooluwatomiwa Oloruntoba and Toan Nguyen and Lena von Schuckmann and Brigid Betz-Stablein and Kiarash Khosrotehrani and Zongyuan Ge and Soyer, \{H. Peter\} and Ian Katz",

year = "2025",

month = jul,

doi = "10.1111/jdv.20412",

language = "English",

volume = "39",

pages = "e577--e580",

journal = "Journal of the European Academy of Dermatology and Venereology",

issn = "0926-9959",

publisher = "Wiley-Blackwell",

number = "7",

}

Muller, NM, Rutjes, C, Tan, SX, Vipulaguna, N, Oloruntoba, A, Nguyen, T, von Schuckmann, L, Betz-Stablein, B, Khosrotehrani, K, Ge, Z, Soyer, HP & Katz, I 2025, 'Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: An Australian cohort study', Journal of the European Academy of Dermatology and Venereology, vol. 39, no. 7, pp. e577-e580. https://doi.org/10.1111/jdv.20412

Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: An Australian cohort study. / Muller, Nicholas M.; Rutjes, Chantal; Tan, Samuel X. et al.
In: Journal of the European Academy of Dermatology and Venereology, Vol. 39, No. 7, 07.2025, p. e577-e580.

Research output: Contribution to journal › Letter › Other

TY - JOUR

T1 - Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence

T2 - An Australian cohort study

AU - Muller, Nicholas M.

AU - Rutjes, Chantal

AU - Tan, Samuel X.

AU - Vipulaguna, Nisal

AU - Oloruntoba, Ayooluwatomiwa

AU - Nguyen, Toan

AU - von Schuckmann, Lena

AU - Betz-Stablein, Brigid

AU - Khosrotehrani, Kiarash

AU - Ge, Zongyuan

AU - Soyer, H. Peter

AU - Katz, Ian

PY - 2025/7

Y1 - 2025/7

UR - http://www.scopus.com/inward/record.url?scp=85208421738&partnerID=8YFLogxK

U2 - 10.1111/jdv.20412

DO - 10.1111/jdv.20412

M3 - Letter

C2 - 39498995

AN - SCOPUS:85208421738

SN - 0926-9959

VL - 39

SP - e577-e580

JO - Journal of the European Academy of Dermatology and Venereology

JF - Journal of the European Academy of Dermatology and Venereology

IS - 7

ER -

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

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