改善整个生命周期的诊断:方法和创新
Jacob Pellinen1, Emma C Foster2, Jo M Wilmshurst3
1Department of Neurology, University of Colorado School of Medicine, Aurora, CO, USA.
The Lancet. Neurology
|April 17, 2024
概括
由于错过症状和医疗保健障碍,迟迟诊断会带来风险. 技术进步,包括人工智能,为早期和更准确的检测和诊断提供了未来的潜力.
科学领域:
- 神经学 神经学
- 医学诊断 医学诊断 医学诊断
- 医疗保健服务研究 医疗服务研究
背景情况:
- 的诊断往往是延迟或不准确的,导致长时间的发作和不良健康结果.
- 有助因素包括患者/目击者识别延迟,医疗保健接入障碍 (文化,地理,财务) 和与提供者相关的诊断延迟.
- 准确及时诊断对于启动有效治疗至关重要.
研究的目的:
- 概述诊断中的关键步骤和挑战.
- 突出临床病史和新兴技术在改善诊断准确性的作用.
- 探索未来创新的潜力,如人工智能,在的检测和诊断.
主要方法:
- 审查的诊断途径,强调从患者和目击者的临床病史.
- 在临床实践中讨论当前的技术辅助,包括智能手机录像和基因测试.
- 探索潜在的未来诊断技术进步的可能性.
主要成果:
- 临床病史仍然是诊断过程的基石.
- 智能手机录像和基因检测越来越多地被整合到常规诊断实践中.
- 人工智能为增强发作检测和诊断算法提供了有希望的途径.
结论:
- 解决诊断中的延迟和不准确性需要克服患者,社会和医疗保健系统的障碍.
- 利用现有和新兴技术可以显著提高诊断的效率和精度.
- 未来的创新有可能彻底改变整个生命周期的发病检测和诊断能力.
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