学科的融合:对人工智能的多学科发展方法的系统审查
Giusi Antonia Toto1, Luca Grilli1, Luigi Traetta1
1Department of Human Science and Education, University of Foggia, Foggia, Italy.
Frontiers in digital health
|August 29, 2025
概括
人工智能 (AI) 通过实现多学科合作,正在改变研究. 这种人工智能整合推动了医学,农业和经济等领域的创新和有效解决方案.
科学领域:
- 多学科研究
- 人工智能应用
- 科学创新
背景情况:
- 人工智能 (AI) 整合正在彻底改变各种科学领域.
- 传统的研究方法正在被人工智能重塑.
- 跨学科的合作是提高人工智能的关键.
研究的目的:
- 探索人工智能的多学科合作对研究和实践的影响.
- 确定人工智能如何在不同领域催化创新.
- 分析人工智能整合在科学中的变革效应.
主要方法:
- 根据PRISMA 2020指南进行系统审查.
- 在PubMed,Scopus和Google学者中进行文献搜索 (2013-2023年).
- 包括关于人工智能和多学科应用的英语文章.
主要成果:
- 人工智能对医学 (诊断,治疗),心理学 (心理健康) 和农业 (粮食安全) 的实践产生了重大影响.
- 人工智能与物理,经济和历史的协作产生了创新的问题解决策略.
- 多学科人工智能整合加速技术进步,并应对全球挑战.
结论:
- 对人工智能的多学科方法具有巨大的创新潜力.
- 人工智能和不同领域的融合促进了复杂问题的全面解决方案.
- 持续的跨学科合作对于最大限度地提高人工智能的社会影响和未来发展至关重要.
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