基于人工智能的平台对自闭症谱系障碍儿童进行治疗的有效性:为期12个月的观察性研究
Harini Atturu1, Somasekhar Naraganti2, Bugatha Rajvir Rao3
1Psychiatry, CARE Hospitals, Hyderabad, India.
JMIR neurotechnology
|December 4, 2025
概括
当CognitiveBotics人工智能平台与持续治疗一起使用时,可显著改善了患有自闭症谱系障碍 (ASD) 的儿童的治疗结果. 这种技术辅助的学习工具有望提高ASD儿童的认知,社会和发展技能.
科学领域:
- * 儿科神经发育障碍 儿童神经发育障碍
- * 医疗保健中的人工智能
- * 行为治疗技术
背景情况:
- * 自闭症谱系障碍 (ASD) 在儿童发育中带来了复杂的挑战.
- * 传统疗法可以通过技术辅助学习平台来增强.
- *评估新型人工智能工具对于提高干预效率至关重要.
研究的目的:
- *评估CognitiveBotics人工智能平台与ASD儿童的持续治疗相结合的有效性.
- * 用标准化的临床评估来衡量治疗结果的改善.
- * 评估用户参与度和平台内的进度跟踪.
主要方法:
- * 一项为期12个月的纵向观察研究,涉及43名被诊断患有自闭症的儿童 (年龄在2-18岁).
- *利用CognitiveBotics人工智能平台与标准治疗一起,将干预组 (一致使用) 与对照组 (不一致使用) 进行比较.
- *在基线和终点进行标准化评估,包括CARS,Vineland社会成熟度表,发育查测试和REEL.
主要成果:
- *干预组在CARS分数 (降低),社会年龄和分数 (增加),发育年龄和分数 (增加) 以及REEL感受/表达语言分数 (增加) 中呈现出统计学上显著的改善.
- *对照组表现出一些改善,但这些在大多数措施中都没有统计学意义.
- *干预组的具体百分比增加包括:社会年龄 (56.84%),社会指数 (21.57%),发育年龄 (46.49%),发育指数 (14.65%),接受性语言 (56.22%) 和表达性语言 (59.93%).
结论:
- *CognitiveBotics人工智能平台作为一种有效的补充,可以提高ASD儿童的治疗结果.
- *该平台展示了在ASD干预中改善认知,社会和发展领域的潜力.
- * 未来的发展应该侧重于更广泛的可访问性,文化敏感性和增强的用户友好性.
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