Development of an Automatic Diagnostic Algorithm for Pediatric Otitis Media

Otology & Neurotology : Official Publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology
Thi-Thao TranMen-Tzung Lo

Abstract

The artificial intelligence and image processing technology can develop automatic diagnostic algorithm for pediatric otitis media (OM) with accuracy comparable to that from well-trained otologists. OM is a public health issue that occurs commonly in pediatric population. Caring for OM may incur significant indirect cost that stems mainly from loss of school or working days seeking for medical consultation. It makes great sense for the homecare of OM. In this study, we aim to develop an automatic diagnostic algorithm for pediatric OM. A total of 1,230 otoscopic images were collected. Among them, 214 images diagnosed of acute otitis media (AOM) and otitis media with effusion (OME) are used as the database for image classification in this study. For the OM image classification system, the image database is randomly partitioned into the test and train subsets. Of each image in the train and test sets, the desired eardrum image region is first segmented, then multiple image features such as color, and shape are extracted. The multitask joint sparse representation-based classification to combine different features of the OM image is used for classification. The multitask joint sparse representation algorithm was applied for the class...Continue Reading

References

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Citations

Oct 9, 2019·Current Opinion in Otolaryngology & Head and Neck Surgery·Nanako Shirai, Diego Preciado
Aug 28, 2020·Pediatric Investigation·Diego Preciado
Jul 8, 2020·Clinical and Experimental Otorhinolaryngology·Bayu Adhi TamaSoo Whan Kim
Dec 29, 2020·The Laryngoscope·Zebin WuQianhui Qiu
Apr 14, 2021·Medical Image Analysis·Josefine Vilsbøll SundgaardAnders Nymark Christensen
May 19, 2021·Artificial Intelligence in Medicine·Van-Truong PhamMen-Tzung Lo
Sep 4, 2021·Journal of Medical Internet Research·Samira Abbasgholizadeh RahimiJean Légaré
Mar 19, 2021·Pediatrics·Matthew G CrowsonMichael S Cohen

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