人工智能与皮肤黑色素瘤

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
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引用次数: 0

摘要

黑色素瘤是最致命的皮肤癌,通常表现为色素区域的变化,通常通过手术切除治疗。由于良性皮肤色素性病变在所有人群中都很常见,因此确定哪些部位应该切除或不做治疗是一项挑战。延迟治疗黑色素瘤会增加死亡风险,但不可能切除所有病变。皮肤镜使用偏振光,可用于帮助区分黑色素瘤和良性病变。经确诊的皮肤镜图像可用于开发人工智能医疗设备(AIaMD)工具。本文将讨论人工智能(AI)在黑色素瘤管理中的应用,并介绍一种人工智能医疗设备(AIaMD)工具,该工具目前已在英国临床实践中用于8万多名患者。以此为跳板,所有参与黑色素瘤患者管理的临床医生可以讨论未来人工智能的使用范围、风险和缓解措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence and skin melanoma
Melanoma is the deadliest skin cancer, presenting typically with changing pigmented areas and usually treated with surgical removal. As benign cutaneous pigmented lesions are very common in all populations, it can be challenging to identify which areas should be cut out or left untreated. Delayed treatment in melanoma increases the risk of death, but it is not possible to remove all lesions. Dermatoscopy uses polarized light and can be used to help distinguish melanomas from benign lesions. Dermatoscopy images with a confirmed diagnosis can be used to develop artificial intelligence (AI) as a medical device (AIaMD) tool. This contribution discusses the utilization of AI in melanoma management and describes an AIaMD tool used in current UK clinical practice on more than 80,000 patients. This is a springboard for discussing the scope, risks, and mitigations for future AI use by all clinicians involved in managing people with melanoma.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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