Systematic review of dermoscopy and digital dermoscopy/ artificial intelligence for the diagnosis of melanoma
Систематический обзор дерматоскопии и цифровой дерматоскопии/искусственного интеллекта для диагностики меланомы
2009-03-19
SCID: 54.1/j9pdr4du
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Menzies scoreartificial intelligencedermoscopydermoscopy algorithmsdiagnostic odds ratiodigital dermoscopymelanoma diagnosispopulation-based studyseven-point checklistthree-point checklist
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Abstract (AI)
Dermoscopy and artificial intelligence performed equally well for diagnosis of melanocytic skin lesions. There was no significant difference in the diagnostic performance of various dermoscopy algorithms. The three-point checklist, the seven-point checklist and Menzies score had better diagnostic odds ratios than the others; however, these results need to be confirmed by a large-scale high-quality population-based study.
Key Findings
1
Dermoscopy and artificial intelligence showed equivalent diagnostic performance for melanocytic skin lesions.
2
No significant difference was found in diagnostic performance among various dermoscopy algorithms.
3
The superiority of those specific algorithms requires confirmation by a large-scale, high-quality, population-based study.
4
Three-point checklist, seven-point checklist, and Menzies score demonstrated higher diagnostic odds ratios than other dermoscopy algorithms.
Research Object
Use of dermoscopy and digital dermoscopy/artificial intelligence for diagnosing melanocytic skin lesions
Research Subject
Comparative diagnostic performance of dermoscopy algorithms and artificial intelligence, including diagnostic odds ratios of specific scoring systems (three-point checklist, seven-point checklist, Menzies score)
Publication Details
Publication Date
2009-03-19
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