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

IF 7.2 2区医学 Q1 OTORHINOLARYNGOLOGY

International Forum of Allergy & Rhinology Pub Date : 2024-09-24 DOI:10.1002/alr.23458

Jonathan Bidwell, Dipesh Gyawali, Jonathan Morse, Vinayak Ganeshan, Thinh Nguyen, Edward D McCoul

引用次数: 0

Abstract

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.

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利用人工智能边缘计算实时增强鼻内窥镜诊断视频。

要点：人工智能增强鼻内窥镜视频图像在临床环境中是可行的。边缘计算硬件可与现有的鼻内窥镜设备连接。实时人工智能性能可在准确性和效率之间实现可接受的平衡。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Forum of Allergy & Rhinology OTORHINOLARYNGOLOGY-

CiteScore

11.70

自引率

10.90%

发文量

185

审稿时长

6-12 weeks

期刊介绍： International Forum of Allergy & Rhinologyis a peer-reviewed scientific journal, and the Official Journal of the American Rhinologic Society and the American Academy of Otolaryngic Allergy. International Forum of Allergy Rhinology provides a forum for clinical researchers, basic scientists, clinicians, and others to publish original research and explore controversies in the medical and surgical treatment of patients with otolaryngic allergy, rhinologic, and skull base conditions. The application of current research to the management of otolaryngic allergy, rhinologic, and skull base diseases and the need for further investigation will be highlighted.