AIMC Topic: Cholesteatoma, Middle Ear

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How reliable is artificial intelligence in the diagnosis of cholesteatoma on CT images?

American journal of otolaryngology Nov 28, 2024
PURPOSE: This study analysed the main artificial intelligence (AI) models for the diagnosis of cholesteatoma on computed tomography (CT), evaluating their performance and comparing them with each other. The increasing application of AI in radiology r...
Humans Artificial Intelligence Tomography, X-Ray Computed Reproducibility of Results Sensitivity and Specificity Cholesteatoma, Middle Ear
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Robot-Assisted Transcanal Endoscopic Ear Surgery for Congenital Cholesteatoma.

Journal of visualized experiments : JoVE Dec 15, 2023
Congenital cholesteatoma accounts for 25% of cholesteatoma cases in children. Transcanal Endoscopic Ear Surgery (TEES) is ideal for these patients because it offers a wide endoscopic view of the middle ear and a minimally invasive approach. The two m...
Humans Retrospective Studies Child, Preschool Treatment Outcome Robotics Robotic Surgical Procedures Cholesteatoma, Middle Ear Cholesteatoma
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Application of artificial intelligence using a convolutional neural network for detecting cholesteatoma in endoscopic enhanced images.

Auris, nasus, larynx Apr 4, 2021
OBJECTIVE: We examined whether artificial intelligence (AI) used with the novel digital image enhancement system modalities (CLARA+CHROMA, SPECTRA A, and SPECTRA B) could distinguish the cholesteatoma matrix, cholesteatoma debris, and normal middle e...
Humans Neural Networks, Computer Female Aged Aged, 80 and over Adult Endoscopy Male Middle Aged Adolescent Diagnosis, Differential Surgery, Computer-Assisted Image Enhancement Ear, Middle Cholesteatoma, Middle Ear
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[The computer-aided diagnosis model of middle ear cholesteatoma based on integrated convolutional neural networks].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery May 7, 2025
Middle ear cholesteatoma is a common otolaryngological disease, and traditional diagnostic methods have certain limitations. This study aims to construct a computer-aided diagnosis model for middle ear cholesteatoma based on integrated convolutional...
Humans Neural Networks, Computer Tomography, X-Ray Computed Diagnosis, Computer-Assisted Convolutional Neural Networks Cholesteatoma, Middle Ear
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