Algorithm-Driven Tele-otoscope for Remote Care for Patients With Otitis Media.

Autor: Fang TY; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan.; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; Department of Otolaryngology, Sijhih Cathay General Hospital, New Taipei City, Taiwan., Lin TY; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Shen CM; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; Department of Pediatric, Cathay General Hospital, Taipei, Taiwan., Hsu SY; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan.; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan., Lin SH; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; Department of Family and Community Medicine, Cathay General Hospital, Taipei, Taiwan., Kuo YJ; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Chen MH; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan., Yin TK; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan., Liu CH; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan., Lo MT; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan., Wang PC; Department of Otolaryngology, Cathay General Hospital, Taipei, Taiwan.; School of Medicine, Fu-Jen Catholic University, New Taipei City, Taiwan.; Department of Biomedical Sciences and Engineering, National Central University, Taoyuan, Taiwan.; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan.
Jazyk: angličtina
Zdroj: Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery [Otolaryngol Head Neck Surg] 2024 Jun; Vol. 170 (6), pp. 1590-1597. Date of Electronic Publication: 2024 Mar 28.
DOI: 10.1002/ohn.738
Abstrakt: Objective: The COVID-19 pandemic has spurred a growing demand for telemedicine. Artificial intelligence and image processing systems with wireless transmission functionalities can facilitate remote care for otitis media (OM). Accordingly, this study developed and validated an algorithm-driven tele-otoscope system equipped with Wi-Fi transmission and a cloud-based automatic OM diagnostic algorithm.
Study Design: Prospective, cross-sectional, diagnostic study.
Setting: Tertiary Academic Medical Center.
Methods: We designed a tele-otoscope (Otiscan, SyncVision Technology Corp) equipped with digital imaging and processing modules, Wi-Fi transmission capabilities, and an automatic OM diagnostic algorithm. A total of 1137 otoscopic images, comprising 987 images of normal cases and 150 images of cases of acute OM and OM with effusion, were used as the dataset for image classification. Two convolutional neural network models, trained using our dataset, were used for raw image segmentation and OM classification.
Results: The tele-otoscope delivered images with a resolution of 1280 × 720 pixels. Our tele-otoscope effectively differentiated OM from normal images, achieving a classification accuracy rate of up to 94% (sensitivity, 80%; specificity, 96%).
Conclusion: Our study demonstrated that the developed tele-otoscope has acceptable accuracy in diagnosing OM. This system can assist health care professionals in early detection and continuous remote monitoring, thus mitigating the consequences of OM.
(© 2024 American Academy of Otolaryngology–Head and Neck Surgery Foundation.)
Databáze: MEDLINE
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