Real-time augmentation of diagnostic nasal endoscopy video using AI-enabled edge computing

被引：0
作者：
Bidwell, Jonathan [1 ]
Gyawali, Dipesh [1 ]
Morse, Jonathan [1 ]
Ganeshan, Vinayak [1 ]
Nguyen, Thinh [1 ]
Mccoul, Edward D. [1 ,2 ]
机构：
[1] Ochsner Hlth, Dept Otorhinolaryngol, New Orleans, LA USA
[2] Univ Queensland, Ochsner Clin Sch, New Orleans, LA USA
来源：
INTERNATIONAL FORUM OF ALLERGY & RHINOLOGY | 2024年
关键词：
artificial intelligence; deep learning; machine learning; nasal endoscopy; neural network;
D O I：
10.1002/alr.23458
中图分类号：
R76 [耳鼻咽喉科学];
学科分类号：
100213 ;
摘要：
Key points: AI-enabled augmentation of nasal endoscopy video images is feasible in the clinical setting. Edge computing hardware can interface with existing nasal endoscopy equipment. Real-time AI performance can achieve an acceptable balance of accuracy and efficiency. © 2024 The Author(s). International Forum of Allergy & Rhinology published by Wiley Periodicals LLC on behalf of American Academy of Otolaryngic Allergy and American Rhinologic Society.
引用
收藏
页码：191 / 194
页数：4
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