AIMC Topic: Otitis Media
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Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm.
Ear and hearing
Mar 29, 2022
OBJECTIVES: Diseases of the middle ear can interfere with normal sound transmission, which results in conductive hearing loss. Since video pneumatic otoscopy (VPO) findings reveal not only the presence of middle ear effusions but also dynamic movemen...
Shortwave infrared otoscopy for diagnosis of middle ear effusions: a machine-learning-based approach.
Scientific reports
Jun 15, 2021
Otitis media, a common disease marked by the presence of fluid within the middle ear space, imparts a significant global health and economic burden. Identifying an effusion through the tympanic membrane is critical to diagnostic success but remains c...
Investigating the use of a two-stage attention-aware convolutional neural network for the automated diagnosis of otitis media from tympanic membrane images: a prediction model development and validation study.
BMJ open
Jan 21, 2021
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 tympanic membrane (TM) images.
Deep Learning for Classification of Pediatric Otitis Media.
The Laryngoscope
Dec 28, 2020
OBJECTIVES/HYPOTHESIS: To create a new strategy for monitoring pediatric otitis media (OM), we developed a brief, reliable, and objective method for automated classification using convolutional neural networks (CNNs) with images from otoscope.
Automatic detection of tympanic membrane and middle ear infection from oto-endoscopic images via convolutional neural networks.
Neural networks : the official journal of the International Neural Network Society
Apr 1, 2020
Convolutional neural networks (CNNs), a popular type of deep neural network, have been actively applied to image recognition, object detection, object localization, semantic segmentation, and object instance segmentation. Accordingly, the applicabili...
Mutant selection window of four quinolone antibiotics against clinical isolates of Streptococcus pneumoniae, Haemophilus influenzae and Moraxella catarrhalis.
Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy
Dec 29, 2017
Community-acquired pneumonia and otitis media are caused by several bacterial species, including Streptococcus pneumoniae, Haemophilus influenzae, and Moraxella catarrhalis. For the treatment of these diseases, various quinolones are frequently used....
Seeking Details on Artificial Intelligence Diagnosis for Acute Otitis Media.
JAMA pediatrics
Aug 1, 2024
Seeking Details on Artificial Intelligence Diagnosis for Acute Otitis Media-Reply.
JAMA pediatrics
Aug 1, 2024
Development and Validation of an Automated Classifier to Diagnose Acute Otitis Media in Children.
JAMA pediatrics
Apr 1, 2024
IMPORTANCE: Acute otitis media (AOM) is a frequently diagnosed illness in children, yet the accuracy of diagnosis has been consistently low. Multiple neural networks have been developed to recognize the presence of AOM with limited clinical applicati...
A Deep Learning Approach to Predict Conductive Hearing Loss in Patients With Otitis Media With Effusion Using Otoscopic Images.
JAMA otolaryngology-- head & neck surgery
Jul 1, 2022
IMPORTANCE: Otitis media with effusion (OME) is one of the most common causes of acquired conductive hearing loss (CHL). Persistent hearing loss is associated with poor childhood speech and language development and other adverse consequence. However,...
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