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人工智能在慢性皮肤病中的新兴应用:一个范围审查
Dylan Hollman1, Chelsea Doktorchik1, Ilya Mukovozov2
1Department of Medicine, University of Alberta, Edmonton, AB, Canada.
人工智能 (AI) 在皮肤病学中越来越多地用于慢性疾病. 虽然人工智能在诊断和疾病评估方面表现有前途,但数据质量和患者信息的局限性阻碍了广泛采用.
科学领域:
- 皮肤病学 皮肤病学
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 医疗保健正在经历人工智能 (AI) 应用的显著增长,特别是在皮肤病领域.
- 本综述侧重于人工智能在治疗慢性非新生性皮肤疾病方面的不断发展的应用.
研究的目的:
- 进行范围审查,评估人工智能 (AI) 在慢性,非瘤性皮肤病中的新兴应用.
- 在这个领域内识别普遍的条件和AI应用类型.
主要方法:
- 在MEDLINE,Embase,PubMed和SCOPUS数据库中搜索了皮肤病学,人工智能和12种常见的慢性皮肤疾病的研究.
- 选文章和提取数据,根据主题和特定皮肤病症对研究进行分类.
主要成果:
- 包括224项独特的研究,其中牛皮 (n=67),亚托皮性皮肤炎/湿疹 (n=41) 和 (n=36) 是最常见的.
- 人工智能应用主要涉及临床评估 (n=176),图像分析 (n=163) 和数据分析 (n=46).
- 诊断和分析AI的使用受到训练数据集限制 (数量,质量) 和患者诊断信息不足的限制.
结论:
- 人工智能通常被应用为皮肤病学中疾病严重程度和特征的自动诊断工具.
- 认识到AI目前的局限性对于其负责任地融入皮肤病学实践至关重要.
- 本综述为临床AI采用提供了洞察力,并为未来的举措确定了研究缺口.
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