支持日常环境中神经发育条件下的适应性功能的人工智能技术:系统性审查
Nina Perry1,2, Carter Sun1,2, Martha Munro1,2
1Clinic for Autism and Neurodevelopment (CAN) Research, Brain and Mind Centre, Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
NPJ digital medicine
|December 20, 2024
概括
人工智能 (AI) 为患有神经发育障碍 (NDC) 的人提供了有前途的辅助技术. 需要进一步的研究来提高证据质量,并扩大用于适应性功能的人工智能应用.
科学领域:
- 神经科学是一个神经科学.
- 计算机科学 计算机科学
- 康复技术 康复技术 康复技术
背景情况:
- 适应性功能对于患有神经发育疾病 (NDC) 的个体的长期结果至关重要.
- 人工智能 (AI) 在日常环境中为个性化,具有成本效益的辅助技术提供了机会.
- 对NDCs人工智能的现有研究主要集中在特定的条件和技能上.
研究的目的:
- 系统地审查人工智能辅助技术的证据,以支持日常环境中NDC患者的适应性功能.
- 为NDCs确定人工智能研究中的当前趋势,人群和有针对性的技能.
- 突出AI应用在支持NDC方面的差距和未来方向.
主要方法:
- 在六个数据库中进行系统的文献搜索.
- 纳入标准侧重于人工智能辅助技术,用于NDC中的自适应功能.
- 分析了15项包括研究在内的研究,按技术类型,人口和目标技能分类.
主要成果:
- 该审查确定了15项利用机器人,手机/计算机和虚拟现实的研究.
- 自闭症谱系障碍是最常被研究的NDC,重点是社会,日常生活和沟通技巧.
- 观察到有希望的结果,但需要更广泛的跨诊断应用和提高研究质量.
结论:
- 人工智能具有显著的潜力,可以提高NDC患者的适应性功能和个性化支持.
- 极其需要针对不同NDC群体的研究,并推进基于证据的实践.
- 进一步的研究是必不可少的,以充分实现人工智能技术在支持NDCs的好处.
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