人工智能用于手术规划和阻塞性睡眠呼吸暂停的结果预测:新兴的作还是未来的标准?
Raisa Chowdhury1,2, Salman Hussain3, Koorosh Semsar-Kazerooni4
1Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada. raisa.chowdhury@mail.mcgill.ca.
概括
人工智能 (AI) 在改善阻塞性睡眠呼吸暂停 (OSA) 诊断和手术规划方面表现有前途. 需要进一步验证,以获得广泛的临床采用和公平使用.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 睡眠医学 睡眠医学
背景情况:
- 阻塞性睡眠呼吸暂停 (OSA) 管理需要准确的诊断和个性化的治疗策略.
- 目前的OSA诊断和治疗规划方法可能是资源密集的,缺乏准确性.
- 像人工智能这样的新兴技术有可能提高OSA护理连续性的潜力.
研究的目的:
- 评估人工智能在诊断,分层风险和规划成人OSA手术干预中的作用.
- 评估AI应用在OSA管理中的临床价值和局限性.
- 综合人工智能的最新进展,用于OSA诊断,监测和外科决策支持.
主要方法:
- 进行了叙事文献审查,重点关注OSA中的AI应用.
- 在诊断准确性,可穿戴监控,结果预测和外科手术工作流程中系统地搜索了关于人工智能的研究.
- 药物诱导睡眠内镜 (DISE),手术反应预测和现实世界/远程医疗环境中的AI工具的优先证据.
主要成果:
- 人工智能模型与睡眠研究取得了很高的一致性,并通过可穿戴设备改进了事件检测.
- 使用临床和成像数据的预测算法增强了风险分层和手术候选人选择.
- 深度学习模型的表现优于低分泌神经刺激反应的传统预测指标,尽管数据质量和偏差仍然令人担忧.
结论:
- 人工智能为个性化,高效和可扩展的OSA管理提供了强大的工具,特别是在手术环境中.
- 临床翻译需要强大的外部验证,校准的输出和未来的影响评估.
- 未来的努力必须专注于可解释性,公平的部署和严格的验证,以确保安全有效的AI集成.
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