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超越准确性:在生物医学语音技术中需要可解释的AI
Rodrigo Capobianco Guido1, Sylvio Barbon Junior2
1São Paulo State University (UNESP), Institute of Biosciences, Letters, and Exact Sciences, Rua Cristóvão Colombo, 2265, Jardim Nazareth, São José do Rio Preto, 15054-000, São Paulo, Brazil.
Computers in biology and medicine
|May 16, 2025
概括
使用人工智能 (AI) 的语音分析为各种医疗条件提供了非侵入性生物标志物. 然而,深度学习模型的可解释性仍然是临床信任和透明度的关键挑战.
科学领域:
- 探索生物医学工程,计算机科学和临床医学的交叉点.
- 专注于在医疗保健中应用先进的信号处理和机器学习.
背景情况:
- 语音和语音分析越来越被认为是有价值的非侵入性生物标志物.
- 这些生物标志物有助于检测和监测各种疾病,包括神经,呼吸和精神疾病.
- 人工智能 (AI) 的进步显著提高了检测微妙的声音模式变化的能力.
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