Artificial intelligence in the detection of skin cancer

被引：36

作者：

Beltrami, Eric J. ^{[1
]}

Brown, Alistair C. ^{[2
]}

Salmon, Paul J. M. ^{[2
]}

Leffell, David J. ^{[3
]}

Ko, Justin M. ^{[4
]}

Grant-Kels, Jane M. ^{[5
,6
]}

机构：

[1] Univ Connecticut, Sch Med, Farmington, CT USA

[2] SkinCentre, Dermatol Surg Unit, Wellington, New Zealand

[3] Yale Sch Med, Dept Dermatol, New Haven, CT USA

[4] Stanford Med, Dept Dermatol, Stanford, CA USA

[5] Univ Connecticut, Dept Dermatol, Sch Med, 21 South Rd, Farmington, CT 06032 USA

[6] Univ Florida, Coll Med, Gainesville, FL USA

来源：

JOURNAL OF THE AMERICAN ACADEMY OF DERMATOLOGY | 2022年 / 87卷 / 06期

关键词：

artificial intelligence; clinical practice; diagnosis; health care dollars; machine learning; neural networks; skin cancer; technology;

D O I：

10.1016/j.jaad.2022.08.028

中图分类号：

R75 [皮肤病学与性病学];

学科分类号：

100206 ;

摘要：

Recent advances in artificial intelligence (AI) in dermatology have demonstrated the potential to improve the accuracy of skin cancer detection. These capabilities may augment current diagnostic processes and improve the approach to the management of skin cancer. To explain this technology, we discuss fundamental terminology, potential benefits, and limitations of AI, and commercial applications relevant to dermatologists. A clear understanding of the technology may help to reduce physician concerns about AI and promote its use in the clinical setting. Ultimately, the development and validation of AI technologies, their approval by regulatory agencies, and widespread adoption by dermatologists and other clinicians may enhance patient care. Technology-augmented detection of skin cancer has the potential to improve quality of life, reduce health care costs by reducing unnecessary procedures, and promote greater access to high-quality skin assessment. Dermatologists play a critical role in the responsible development and deployment of AI capabilities applied to skin cancer.

引用

页码：1336 / 1342

页数：7

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