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视频光镜中的人工智能子研究分析:全面的综述

G Sanjeevi¹, Uma Gopalakrishnan², Rahul Krishnan Pathinarupothi²

¹Center for Wireless Networks & Applications (WNA), Amrita Vishwa Vidyapeetham, Amritapuri, India. sanjeevig1999@gmail.com.

|February 17, 2025

概括

人工智能 (AI) 在分析视频光镜吞研究 (VFSS) 方面表现有前途,以改善饮食失调的诊断. 虽然人工智能有助于检测吞阶段和异常,但用于VFSS分析的全自动化工具仍在开发中.

科学领域:

医学成像分析医学成像分析
人工智能在医学中的应用
语音语言病理学语言病理学

背景情况:

视频光镜吞研究 (VFSS) 是诊断缺食症的黄金标准.
由于人类的偏见和变异性,VFSS的解释面临着挑战.
人工智能 (AI) 为增强VFSS分析提供了潜在的解决方案.

研究的目的:

审查当前的AI应用程序,分析VFSS的吞障碍.
评估人工智能的作用,以支持临床决策的功能障碍症.
为了确定人工智能驱动的VFSS分析的进展和局限性.

主要方法:

对应用到VFSS的AI技术进行了全面的文献审查.
分析AI在特定VFSS任务中的性能,例如相位检测和异常识别.
评估人工智能模型的概括性和整合挑战.

主要成果:

在喉阶段检测,螺旋体/舌骨细分和透-吸收检测方面,人工智能取得了重大进展.
人工智能显示出分析临床相关性和扩大VFSS范围的潜力.
一个端到端的自动化AI工具用于VFSS分析尚未提供.

结论:

人工智能具有很大的潜力,可以提高VFSS分析的客观性和效率.
对语音语言病理学家的数据集可用性,模型概括性和临床整合性需要进一步研究.
人工智能可以提高诊断准确度和临床决策支持,以评估吞障碍.

关键词:

进入空气道的入侵.人工智能的人工智能是人工智能.消化不良症消化不良症分段化分段化分段化分段化吞阶段是吞阶段.

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