医疗领域的数字适应性干预:一个参考资料分析
Chi Ma1, Xuedan Wang1, Xiang He1
1Evidence-Based Nursing Center, School of Nursing, Lanzhou University, No. 28 Yanxi Road, Chengguan District, Lanzhou 730011, Gansu Province, China.
Translational behavioral medicine
|August 12, 2025
概括
适应性干预 (AI) 研究正在迅速增长,重点是针对心理健康和成的即时设计. 未来的趋势包括AI的移动健康和生态瞬间评估.
科学领域:
- 医疗信息学 医疗信息学
- 行为科学 行为科学
- 数字健康数字健康
背景情况:
- 适应性干预 (AI) 在医学研究中越来越受欢迎.
- 了解人工智能研究需要绘制它的热点和边界.
研究的目的:
- 想象出版趋势并确定适应性干预 (AI) 研究的关键领域.
- 为未来的人工智能研究提供指导.
主要方法:
- 在2024年12月之前,从Web of Science核心收藏中对429篇出版物的图书统计分析.
- 使用VOSviewer,CiteSpace和Scimago Graphica对国家,作者,共同引用和研究趋势进行分析.
- 包括关于AI的文章和综述文章.
主要成果:
- 自2016年以来,出版物数量急剧增加,美国的贡献很大.
- 在欧洲,美国和澳大利亚存在强大的合作关系.
- 恰到好处的适应性干预非常突出,特别是在成行为和心理健康方面.
- 移动健康和生态瞬间评估是新兴趋势.
结论:
- 人工智能研究已经显著发展,朝着实际应用和有效性评估迈进.
- 该领域正在从理论发展过渡到现实世界的实施.
- 预计适应性干预在各种医疗领域的应用将会更广泛.
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