Deep learning-based smart speaker to confirm surgical sites for cataract surgeries: A pilot study.

ABSTRACT: Wrong-site surgeries can occur due to the absence of an appropriate surgical time-out. However, during a time-out, surgical participants are unable to review the patient's charts due to their aseptic hands. To improve the conditions in surgical time-outs, we introduce a deep learning-based smart speaker to confirm the surgical information prior to cataract surgeries. This pilot study utilized the publicly available audio vocabulary dataset and recorded audio data published by the authors. The audio clips of the target words, such as left, right, cataract, phacoemulsification, and intraocular lens, were selected to determine and confirm surgical information in the time-out speech. A deep convolutional neural network model was trained and implemented in the smart speaker that was developed u

SUBMITTER: Yoo TK 

PROVIDER: S-EPMC7144990 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature