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皮肤癌检测和临床环境分类的人工智能:系统性审查

Brunna C R S Furriel^1,2,3, Bruno D Oliveira¹, Renata Prôa¹

¹Imaging Research Center, Hospital Israelita Albert Einstein, São Paulo, Brazil.

Frontiers in medicine

|January 23, 2024

概括

人工智能 (AI) 有助于从图像中早期发现和分类皮肤癌,改善患者的治疗结果. 与医疗保健专业人员进行验证对于安全的临床整合至关重要.

科学领域:

皮肤病学皮肤病学
医疗成像医学成像
人工智能的人工智能

背景情况:

全球皮肤癌发病率正在上升,需要改进早期检测方法.
准确的皮肤癌诊断导致更好的预后和更少的侵入性治疗.
人工智能 (AI) 工具可以帮助诊断和分类皮肤学图像,特别是在专家稀缺的地方.

研究的目的:

系统地审查在临床环境中检测,分类和评估皮肤癌图像的研究.
评估AI在皮肤病学中的有效性,安全性和伦理考虑.
探索遗传和种族多样性对皮肤癌诊断中的AI工具性能的影响.

主要方法:

在PubMed,Scopus,Embase和Web of Science进行系统的文献搜索,直到2023年4月.
选择,数据提取,并由两个独立审稿人进行批判性评估.
精选研究结果的叙述综合.

主要成果:

确定了760项研究,选择了18项进行审查,重点是用于皮肤癌检测,诊断和分类的AI系统.
该审查包括描述性分析,数据处理技术和研究结果.
考虑因素包括医生多样性,可访问性和参与人工智能驱动的皮肤病学.

结论:

皮肤病学中的AI显示出革命性早期皮肤癌检测的巨大潜力.
临床验证和与医疗保健专业人员的合作对于确保AI的有效性和安全性至关重要.
解决患者多样性的问题是公平的AI应用在皮肤癌护理中的关键.

关键词:

皮肤癌是一种皮肤癌.人工智能的人工智能是人工智能.这是分类分类的分类.检测检测检测检测检测功能提取特性提取黑色素瘤是一种黑色素瘤.

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