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 | 2025年 / 15卷 / 02期

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

页码：191 / 194

页数：4

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