AIMC Topic: Tympanic Membrane
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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.
OtoMatch: Content-based eardrum image retrieval using deep learning.
PloS one
May 15, 2020
Acute infections of the middle ear are the most commonly treated childhood diseases. Because complications affect children's language learning and cognitive processes, it is essential to diagnose these diseases in a timely and accurate manner. The pr...
Artificial intelligence to detect tympanic membrane perforations.
The Journal of laryngology and otology
Apr 2, 2020
OBJECTIVE: To explore the feasibility of constructing a proof-of-concept artificial intelligence algorithm to detect tympanic membrane perforations, for future application in under-resourced rural settings.
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...
Automated diagnosis of ear disease using ensemble deep learning with a big otoendoscopy image database.
EBioMedicine
Jul 1, 2019
BACKGROUND: Ear and mastoid disease can easily be treated by early detection and appropriate medical care. However, short of specialists and relatively low diagnostic accuracy calls for a new way of diagnostic strategy, in which deep learning may pla...
Model-based hearing diagnostics based on wideband tympanometry measurements utilizing fuzzy arithmetic.
Hearing research
Feb 28, 2019
Today's audiometric methods for the diagnosis of middle ear disease are often based on a comparison of measurements with standard curves, that represent the statistical range of normal hearing responses. Because of large inter-individual variances in...
Efficacy of Platelet-Rich Plasma on Fat Grafts in the Repair of Tympanic Membrane Perforations: An Experimental Study.
The journal of international advanced otology
Dec 14, 2017
OBJECTIVE: We investigated the use of autologous platelet-rich plasma (PRP) to improve the success rate of fat graft myringoplasty in perforated tympanic membranes of rats.
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...
Making Use of Artificial Intelligence-Generated Synthetic Tympanic Membrane Images.
JAMA otolaryngology-- head & neck surgery
Jun 1, 2023
Effect of Transtympanic Injection of Melatonin on Cisplatin-Induced Ototoxicity.
The journal of international advanced otology
Dec 1, 2015
OBJECTIVE: Cisplatin is a chemotherapeutic agent that is widely used in cancer treatment. Numerous side effects have been detected, one of which is ototoxicity. Melatonin, a product of the pineal gland, has a neuroendocrinoimmunological role in verte...
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