Fagherazzi Guy, Fischer Aurélie, Ismael Muhannad, Despotovic Vladimir
Deep Digital Phenotyping Research Unit, Department of Population Health, Luxembourg Institute of Health, Strassen, Luxembourg.
IT for Innovation in Services Department (ITIS), Luxembourg Institute of Science and Technology (LIST), Esch-sur-Alzette, Luxembourg.
Digit Biomark. 2021 Apr 16;5(1):78-88. doi: 10.1159/000515346. eCollection 2021 Jan-Apr.
Diseases can affect organs such as the heart, lungs, brain, muscles, or vocal folds, which can then alter an individual's voice. Therefore, voice analysis using artificial intelligence opens new opportunities for healthcare. From using vocal biomarkers for diagnosis, risk prediction, and remote monitoring of various clinical outcomes and symptoms, we offer in this review an overview of the various applications of voice for health-related purposes. We discuss the potential of this rapidly evolving environment from a research, patient, and clinical perspective. We also discuss the key challenges to overcome in the near future for a substantial and efficient use of voice in healthcare.
疾病会影响心脏、肺、大脑、肌肉或声带等器官，进而改变一个人的声音。因此，利用人工智能进行语音分析为医疗保健带来了新机遇。从使用嗓音生物标志物进行诊断、风险预测以及对各种临床结果和症状进行远程监测等方面，我们在本综述中概述了嗓音在健康相关用途上的各种应用。我们从研究、患者和临床的角度讨论了这个快速发展领域的潜力。我们还讨论了在不久的将来为在医疗保健中充分且高效地利用嗓音而需要克服的关键挑战。
