Advances in Early Detection of Melanoma and the Future of At-Home Testing

被引:15
作者
Garrison, Zachary R. [1 ]
Hall, Connor M. [1 ]
Fey, Rosalyn M. [1 ]
Clister, Terri [1 ]
Khan, Nabeela [1 ]
Nichols, Rebecca [1 ]
Kulkarni, Rajan P. [1 ,2 ,3 ,4 ]
机构
[1] Oregon Hlth & Sci Univ, Dept Dermatol, Portland, OR 97239 USA
[2] Canc Early Detect Adv Res Ctr CEDAR, Portland, OR 97239 USA
[3] Oregon Hlth & Sci Univ, Knight Canc Inst, Portland, OR 97239 USA
[4] US Dept Vet Affairs Portland Hlth Care Syst, Operat Care Div, Portland, OR 97239 USA
来源
LIFE-BASEL | 2023年 / 13卷 / 04期
关键词
melanoma; early-detection; self-screening; primary-care; artificial intelligence; SKIN SELF-EXAMINATION; MALIGNANT-MELANOMA; PRIMARY-CARE; COST-EFFECTIVENESS; EARLY-DIAGNOSIS; PIGMENTED LESIONS; 7-POINT CHECKLIST; DERMOSCOPY; EDUCATION; CANCER;
D O I
10.3390/life13040974
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
The past decade has seen numerous advancements in approaches to melanoma detection, each with the common goal to stem the growing incidence of melanoma and its mortality rate. These advancements, while well documented to increase early melanoma detection, have also garnered considerable criticism of their efficacy for improving survival rates. In this review, we discuss the current state of such early detection approaches that do not require direct dermatologist intervention. Our findings suggest that a number of at-home and non-specialist methods exist with high accuracy for detecting melanoma, albeit with a few notable concerns worth further investigation. Additionally, research continues to find new approaches using artificial intelligence which have promise for the future.
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页数:14
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