治疗师反和对采用基于人工智能的联合促进器在线癌症支持小组的影响:混合方法单臂可用性研究
Yvonne W Leung1,2,3, Steve Ng1, Lauren Duan1
1de Souza Institute, University Health Network, Toronto, ON, Canada.
JMIR cancer
|June 9, 2023
概括
人工智能联合促进者 (AICF) 在在线癌症支持小组中监测痛苦方面表现有前途. 虽然定量验证正在进行中,但定性发现表明,AICF帮助治疗师积极主动,个性化支持患者.
科学领域:
- 数字健康数字健康
- 医疗保健中的人工智能
- 在线支持小组 在线支持小组
背景情况:
- 随着COVID-19的流行,对虚拟支持计划的需求增加了.
- 人工智能 (AI) 在虚拟干预中为情感连接缺口提供解决方案.
- 人工智能可以分析在线支持小组文本,以识别心理健康风险并推资源.
研究的目的:
- 评估基于人工智能的联合促进器 (AICF) 的可行性,可接受性,有效性和可靠性.
- 评估AICF通过文本分析监测在线癌症支持小组中的痛苦的能力.
- 确定AICF是否可以生成参与者资料,识别有风险的个人,并建议定制的资源.
主要方法:
- 混合方法,单臂研究评估AICF与治疗师和癌症患者.
- AICF分析了参与者文字的情感轨迹和讨论摘要.
- 通过使用表情符号登记,语言查询和词汇计数软件验证了危险检测,并修订了事件规模的影响.
主要成果:
- 定性数据表明,AICF有效地识别了实时问题,从而实现了主动的治疗师支持.
- 量化结果显示,AICF的应急检测能力的有效性有限.
- 治疗师对AICF的危险检测功能的伦理影响表示担忧.
结论:
- AICF展示了增强虚拟支持小组干预的潜力.
- 需要进一步的研究来提高AICF的应急检测准确度.
- 未来的研究将探索整合可穿戴传感器和面部线索以进行更丰富的数据分析.
关键词:
这里是LIWCWCWC.癌症 癌症 癌症 癌症 癌症情绪分析 情绪分析 情绪分析人工智能的法律影响自然语言处理自然语言处理.推者系统推者系统治疗师 收养 治疗师治疗师的态度 治疗师的态度心理治疗师的责任更多相关视频
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