分析国际出版物在皮肤癌症人工智能趋势的分析
1Department of Ophthalmology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China.
Clinics in dermatology
|September 11, 2024
概括
皮肤癌研究中的人工智能 (AI) 正在快速扩展,其中重点是用于黑色素瘤诊断的深度学习. 未来的工作可能会加强人工智能.
科学领域:
- 皮肤病学和医疗信息学
- 圣经计量学和科学计量学
- 在瘤学中使用人工智能
背景情况:
- 人工智能 (AI) 在皮肤癌研究中的应用已经显著增长.
- 了解出版趋势对于确定人工智能驱动皮肤病学的未来研究方向至关重要.
研究的目的:
- 从2010年到2022年,对皮肤癌中人工智能的出版物进行文献分析.
- 探索出版趋势,领先的贡献者和新兴的皮肤癌人工智能研究领域.
- 确定当前的研究重点和人工智能在皮肤癌管理中的未来潜力.
主要方法:
- 从Web of Science数据库 (2010-2022) 中对989个英语出版物的图书统计分析.
- 分析出版,引用和合数据,包括作者,国家,期刊,机构和关键词.
- 进行了共同引用网络分析和关键词趋势分析.
主要成果:
- 每年从0.51%到33.57%的出版物大幅增加.
- 美国,印度和中国是主要的贡献者,IEEE Access是最多产的期刊.
- 针对黑色素瘤分类和诊断的深度学习是目前的研究重点,其中"颜色化皮肤病变"显示出显著的趋势持续时间.
结论:
- 人工智能是皮肤癌研究的快速发展领域,具有相当大的潜力.
- 人工智能技术,特别是机器学习和深度学习,有望显著改善皮肤癌查和诊断.
- 未来的研究很可能将集中在改进人工智能算法,以提高诊断准确性和患者管理.
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