人工智能在皮肤癌的现状 出版物 出版物
Maxine Joly-Chevrier1, Anne Xuan-Lan Nguyen2, Laurence Liang3
1Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
Journal of cutaneous medicine and surgery
|February 7, 2024
概括
人工智能 (AI) 正在推动皮肤癌研究,大多数研究都专注于查技术. 皮肤科医生对于这些AI系统的标签数据至关重要.
科学领域:
- 皮肤病学 皮肤病学
- 医疗人工智能 医疗人工智能
- 生物医学信息学 生物医学信息学
背景情况:
- 人工智能 (AI) 在促进皮肤癌检测和患者支持方面显著有前途.
- 医生对人工智能发展的认识对于将这些技术整合到临床实践中至关重要.
研究的目的:
- 从皮肤病学期刊分析皮肤癌研究中人工智能 (AI) 出版物的特征和趋势.
主要方法:
- 在2022年6月,在科学网络上对AI皮肤癌出版物进行了全面的文献搜索.
- 文章被选,审查,并分类为非黑色素瘤皮肤癌 (NMSC),黑色素瘤和一般皮肤癌研究.
- 关键指标包括引用数量,出版趋势,AI方法 (例如,监督学习,深度神经网络) 和成像模式.
主要成果:
- 总共包括168篇文章,黑色素瘤是研究最多的皮肤癌 (77篇文章).
- 出版量激增,在2021年发表的文章占29.2%.
- 监督学习和深度神经网络是占主导地位的AI方法,通常使用皮肤镜和临床图像.
结论:
- 大多数AI皮肤癌研究的重点是开发和评估查技术,特别是使用深度神经网络的技术.
- 皮肤科医生显然越来越需要为培训和验证这些AI系统提供医疗图像的专家注释.
关键词:
人工智能的人工智能是人工智能.圣经计量资料 (Bibliometric bibliometric bibliometric) 是指参考书目中的资料.深度学习是一种深度学习.机器学习是机器学习.皮肤癌是皮肤癌.更多相关视频
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