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Assessment of image quality on the diagnostic performance of clinicians and deep learning models: Cross-sectional comparative reader study.
Oloruntoba AI, Asghari-Jafarabadi M, Sashindranath M, Ingvar Å, Adler NR, Vico-Alonso C, Niklasson L, Caixinha AL, Hiscutt E, Holmes Z, Assersen KB, Adamson S, Jegathees T, Bertelsen T, Velasco-Tamariz V, Helkkula T, Kristiansen S, Toholka R, Goh MS, Chamberlain A, McCormack C, Vestergaard T, Mehta D, Nguyen TD, Ge Z, Soyer HP, Mar V. Oloruntoba AI, et al. J Eur Acad Dermatol Venereol. 2024 Dec 10. doi: 10.1111/jdv.20462. Online ahead of print. J Eur Acad Dermatol Venereol. 2024. PMID: 39655640
Consensus versus discordance in the classification of borderline melanocytic lesions between dermatopathologists and artificial intelligence: An Australian cohort study.
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. Muller NM, et al. Among authors: oloruntoba a. J Eur Acad Dermatol Venereol. 2024 Nov 5. doi: 10.1111/jdv.20412. Online ahead of print. J Eur Acad Dermatol Venereol. 2024. PMID: 39498995 No abstract available.
Minimum labelling requirements for dermatology artificial intelligence-based Software as Medical Device (SaMD): A consensus statement.
Ingvar Å, Oloruntoba A, Sashindranath M, Miller R, Soyer HP, Guitera P, Caccetta T, Shumack S, Abbott L, Arnold C, Lawn C, Button-Sloan A, Janda M, Mar V. Ingvar Å, et al. Among authors: oloruntoba a. Australas J Dermatol. 2024 May;65(3):e21-e29. doi: 10.1111/ajd.14222. Epub 2024 Feb 28. Australas J Dermatol. 2024. PMID: 38419186