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自闭症的进步:一个图书识别分析.
Mehreen Chowdhury1, Murdoc Gould2, Latha Ganti1,2
1University of Central Florida.
Health psychology research
|December 3, 2024
概括
对于自闭症谱系障碍 (ASD) 的人工智能 (AI) 研究显示出了重要的全球合作. 美国在人工智能驱动的ASD治疗创新方面处于领先地位,机器学习和儿童是关键研究领域.
科学领域:
- 在自闭症谱系障碍 (ASD) 研究中对人工智能 (AI) 应用的图书统计分析.
- 全球科学成果和引用对ASD干预的AI的影响.
背景情况:
- 自闭症谱系障碍 (ASD) 提出了复杂的挑战,需要创新的治疗方法.
- 人工智能 (AI) 的整合为改善ASD诊断和治疗提供了有希望的途径.
研究的目的:
- 从2007年到2023年,全面分析用于ASD治疗的AI的全球研究趋势.
- 确定这个研究领域的领先国家,机构,作者和关键词.
主要方法:
- 科学出版物的图书法分析. 科学出版物的图书法分析.
- 提取关于文档计数,引用,国家,机构,作者和关键词的数据.
- 在ASD研究中对AI应用的趋势分析.
主要成果:
- 美国在出版 (164) 和引用 (4988),其次是中国和印度.
- 斯坦福大学和麦吉尔大学是主要的贡献机构.
- 主要的关键词包括"机器学习"",自闭症谱系障碍"和"儿童".
结论:
- 一个充满活力的全球研究工作正在进行中,以推进人工智能驱动的ASD治疗.
- 合作研究和技术创新对于提高ASD干预方法至关重要.
- 人工智能,特别是机器学习,显示出更高效的ASD诊断和个性化治疗的潜力.
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