Diagnosis, treatment, and management of otitis media with artificial intelligence

X Ding, Y Huang, X Tian, Y Zhao, G Feng, Z Gao - Diagnostics, 2023 - mdpi.com
A common infectious disease, otitis media (OM) has a low rate of early diagnosis, which
significantly increases the difficulty of treating the disease and the likelihood of serious …

Advances in artificial intelligence to diagnose otitis media: State of the art review

S Ngombu, H Binol, MN Gurcan… - … –Head and Neck …, 2023 - Wiley Online Library
Objective Otitis media (OM) is a model disease for developing, validating, and implementing
artificial intelligence (AI) techniques. We aim to review the state of the art applications of AI …

Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a …

Y Cai, JG Yu, Y Chen, C Liu, L Xiao, EM Grais… - BMJ open, 2021 - bmjopen.bmj.com
Objectives This study investigated the usefulness and performance of a two-stage attention-
aware convolutional neural network (CNN) for the automated diagnosis of otitis media from …

Image-based artificial intelligence technology for diagnosing middle ear diseases: a systematic review

D Song, T Kim, Y Lee, J Kim - Journal of Clinical Medicine, 2023 - mdpi.com
Otolaryngological diagnoses, such as otitis media, are traditionally performed using
endoscopy, wherein diagnostic accuracy can be subjective and vary among clinicians. The …

Deep learning in automated region proposal and diagnosis of chronic otitis media based on computed tomography

YM Wang, Y Li, YS Cheng, ZY He, JM Yang… - Ear and …, 2020 - journals.lww.com
Objectives: The purpose of this study was to develop a deep-learning framework for the
diagnosis of chronic otitis media (COM) based on temporal bone computed tomography …

Towards low cost automated smartphone-and cloud-based otitis media diagnosis

HC Myburgh, S Jose, DW Swanepoel… - … Signal Processing and …, 2018 - Elsevier
Otitis media is one of the most common childhood illnesses. Access to ear specialists and
specialist equipment is rudimentary in many third world countries, and general practitioners …

Automated diagnosis of otitis media: vocabulary and grammar

A Kuruvilla, N Shaikh, A Hoberman… - International Journal of …, 2013 - Wiley Online Library
We propose a novel automated algorithm for classifying diagnostic categories of otitis
media: acute otitis media, otitis media with effusion, and no effusion. Acute otitis media …

Otitis media detection using tympanic membrane images with a novel multi-class machine learning algorithm

A Alhudhaif, Z Cömert, K Polat - PeerJ Computer Science, 2021 - peerj.com
Background Otitis media (OM) is the infection and inflammation of the mucous membrane
covering the Eustachian with the airy cavities of the middle ear and temporal bone. OM is …

A machine learning approach to screen for otitis media using digital otoscope images labelled by an expert panel

J Sandström, H Myburgh, C Laurent, DW Swanepoel… - Diagnostics, 2022 - mdpi.com
Background: Otitis media includes several common inflammatory conditions of the middle
ear that can have severe complications if left untreated. Correctly identifying otitis media can …

Fusing fine-tuned deep features for recognizing different tympanic membranes

C Zafer - Biocybernetics and Biomedical Engineering, 2020 - Elsevier
Otitis media (OM) refers to a group of inflammatory diseases regarding the middle ear.
Although there are a wide variety of disease types regarding OM, the most commonly seen …