使用人工智能对声麻的诊断方法的全面审查
Divya Rao1, Rohit Singh2, K Devaraja3
1Department of Information and Communication Technology, Manipal Institute of Technology, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka 576104 India.
概括
人工智能 (AI) 通过分析微妙的语音和成像数据,帮助诊断声麻. 这项技术有望更早地检测和个性化治疗这种具有挑战性的神经相关疾病.
科学领域:
- 医学诊断 医学诊断 医学诊断
- 人工智能在医学中的应用
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
背景情况:
- 由于神经损伤造成的声麻会损害声功能,影响言语,呼吸和吞.
- 声麻的常规诊断方法往往具有侵入性,具有挑战性,并且可能无法可靠地将其与类似疾病区分开来,导致治疗延迟.
- 人工智能 (AI) 提供了识别数据中可能被人类分析遗漏的复杂模式的潜力,特别是在不太常见的条件下.
研究的目的:
- 审查最近的研究 (过去五年) 关于人工智能在诊断声麻中的应用.
- 巩固有关AI诊断性能,使用的数据集以及在声麻研究中遇到的挑战的发现.
- 确定研究缺陷,并建议在人工智能驱动的声麻诊断方面进行改进.
主要方法:
- 研究论文的叙述性回顾,重点关注用于诊断单边或双边声麻的AI应用.
- 利用人工智能进行声学分析,分析与声功能障碍相关的声音变化.
- 评估使用人工智能与基于成像的方法进行声运动评估的研究.
主要成果:
- 人工智能模型在诊断声麻方面显示出显著的潜力.
- 应用于声学分析的AI在识别微妙的语音变化方面取得了高准确性,这表明声功能受损.
- 与成像技术集成的AI提供了可靠和详细的声运动评估.
结论:
- 计算方法,包括人工智能,显示作为补充或替代声麻传统诊断工具的承诺.
- 人工智能可以为患有声麻的患者提供更早的识别和个性化的治疗策略.
- 关键的挑战包括数据集多样性,模型偏差和数据质量;未来的研究应该解决这些临床整合.
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