Item-specific analysis of hoarseness to detect aspiration after cardiac surgery: an exploratory study of adopting an iPhone application "GRBASZero"

被引：0

作者：

Yamamoto, Naoki ^{[1
]}

Onoda, Koji ^{[1
]}

机构：

[1] Shingu Municipal Med Ctr, Dept Cardiovasc Surg, 18-7 Hachibuse, Shingu, Wakayama 6470072, Japan

来源：

INDIAN JOURNAL OF THORACIC AND CARDIOVASCULAR SURGERY | 2024年 / 40卷 / 06期

关键词：

Artificial intelligence; Aspiration; Cardiac surgery; GRBAS scale; Hoarseness;

D O I：

10.1007/s12055-024-01758-x

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Evaluating hoarseness after cardiac surgery could be crucial to detecting decreased swallowing function. However, objectively detecting hoarseness has been difficult in daily clinical practice of cardiovascular domains, because it is only performed by skilled voice treatment specialists. Recently, some evaluating methods of hoarseness using artificial intelligence with its recent development have been reported. This exploratory study aimed to investigate the GRBAS (Grade, Roughness, Breathiness, Asthenia, Strain) scale items using an iPhone application "GRBASZero" for detecting aspiration following cardiac surgery.

引用

页码：684 / 689

页数：6