人工智能用于诊断和治疗失调症:一个范围审查
Rayane Délcia da Silva1,2,3, Suzanne Bettega Almeida1,2,3, Flávio Magno Gonçalves1,2,3
1Universidade Tuiuti do Paraná - UTP - Curitiba (PR), Brasil.
CoDAS
|August 6, 2025
概括
人工智能 (AI) 在诊断和管理失调症方面表现有前途,特别是与视频光镜使用的深度学习算法. 这项技术提供了潜在的改进,特别是神经病患者,但需要进一步的研究.
科学领域:
- 医疗技术 医疗技术 医学技术
- 医疗保健中的人工智能
- 临床诊断 临床诊断 临床诊断
背景情况:
- 断食症的诊断和管理面临着持续的临床挑战.
- 越来越多地探索技术创新,以提高医疗保健成果.
- 人工智能 (AI) 为复杂的医疗条件提供了新的方法.
研究的目的:
- 绘制和综合人工智能在失调诊断和管理方面的进展的证据.
- 识别流行的人工智能技术及其在失调研究中的应用.
- 突出研究缺口和人工智能在失调护理中的未来方向.
主要方法:
- 根据PRISMA和乔安娜·布里格斯研究所的指导方针进行范围审查.
- 在多个数据库 (EMBASE,LILACS,PubMed,Scopus等) 中进行了广泛的文献搜索. 和灰色文学.
- 基于PCC框架的资格标准;从最初的205个项目中包含61个项目.
主要成果:
- 吞视频光镜是主要的参考检查.
- 在研究参与者中,神经疾病占主导地位.
- 深度学习算法最常用于机器学习,深度学习和计算机视觉等类别.
结论:
- 人工智能,特别是深度学习,在诊断和管理失调症方面显示出巨大的潜力,尤其是视频光镜.
- 这些进展显示了改善神经病患者的诊断准确性和临床有效性的前景.
- 进一步的研究是必要的,以确认临床适用性和影响.
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