在阿尔茨海默氏症研究中的人工智能技术
Wenli Zhang1, Yifan Li1, Wentao Ren2
1Faculty of Information Technology, Beijing University of Technology, Beijing, China.
Intractable & rare diseases research
|November 29, 2023
概括
人工智能 (AI) 和深度学习为阿尔茨海默病的检测和治疗提供了先进的解决方案. 本综述将人工智能与传统方法进行比较,并强调未来疾病管理的非侵入性技术.
科学领域:
- 神经学 神经学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 阿尔茨海默病是导致痴呆的主要原因,其全球影响越来越大.
- 人工智能 (AI) 越来越多地被用于医学诊断,包括疾病预测和个性化治疗.
- 深度学习,AI的一个子集,为早期阿尔茨海默病的检测和管理提供了关键的支持.
研究的目的:
- 将传统的研究方法与阿尔茨海默病的AI技术进行比较.
- 审查目前用于阿尔茨海默病检测的非侵入性和便携式方法.
- 为未来的阿尔茨海默病预测和管理提供指导.
主要方法:
- 文学评论比较传统和人工智能驱动的方法在阿尔茨海默氏症的研究.
- 综合当前的非侵入性和便携式诊断技术.
- 分析AI在早期检测,诊断和治疗中的作用.
主要成果:
- 人工智能和深度学习在加强阿尔茨海默病研究方面显示出巨大的潜力.
- 非侵入性和便携式检测方法正在迅速发展.
- 人工智能为早期检测和个性化治疗策略提供了更好的支持.
结论:
- 人工智能技术是阿尔茨海默氏症研究中传统方法的有希望的替代品和补充.
- 非侵入性技术的进步对于可访问的阿尔茨海默病检测至关重要.
- 将AI整合到临床实践中可以显著改善阿尔茨海默病的预测和管理.
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