人工智能在痴呆症研究中的应用
Kelvin K F Tsoi1,2, Pingping Jia1, N Maritza Dowling3,4
1JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Sha Tin, Hong Kong.
Cambridge prisms. Precision medicine
|March 29, 2024
概括
人工智能 (AI) 为痴呆症研究提供了有前途的工具,有助于早期发现,诊断和护理. 需要进一步的研究来比较人工智能方法.
科学领域:
- 神经科学是一个神经科学.
- 医疗信息学 医疗信息学
- 老年学是指老年学的学科.
背景情况:
- 全球有超过5000万人患有痴呆症,预计到2050年将达到1.5亿.
- 痴呆症患病率的增加增加了护理人员的负担和医疗保健成本,需要创新的解决方案.
- 仍然缺乏有效的痴呆症治疗方法,这推动了早期发现和管理策略的研究.
研究的目的:
- 在痴呆症研究中提供人工智能 (AI) 应用的全面概述.
- 根据认知障碍阶段对人工智能应用进行分类:查/培训,诊断/预后和护理/干预.
- 突出AI在解决与痴呆相关的挑战方面的潜力.
主要方法:
- 对现有的关于痴呆症人工智能应用的文献进行系统审查.
- 基于人工智能工具在认知障碍进展中的作用对人工智能工具的分类.
- 分析人工智能在查,诊断,预后和痴呆患者护理方面的实用性.
主要成果:
- 人工智能,包括机器学习和深度学习,广泛用于痴呆症诊断和进展监测.
- 数字工具和应用程序为患者和护理人员的认知功能监测提供了便利.
- 社交机器人显示出支持单独生活的老年人的潜力.
结论:
- 人工智能应用包括认知查,培训,诊断,预后和痴呆症护理.
- 许多研究表明AI的实用性,但在临床环境中直接比较AI方法仍然是一个挑战.
- 需要进一步的研究来验证和比较各种AI方法在现实世界的临床场景中的有效性.
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