AIMC Topic: Hearing Loss, Conductive
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Automated hearing loss type classification based on pure tone audiometry data.
Scientific reports
Jun 20, 2024
Hearing problems are commonly diagnosed with the use of tonal audiometry, which measures a patient's hearing threshold in both air and bone conduction at various frequencies. Results of audiometry tests, usually represented graphically in the form of...
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...
Artificial Intelligence: First Do the Long Overdue Doable.
Journal of primary care & community health
Jan 1, 2023
Release of ChatGPT-4, an internet-based computer program that simulates conversation with human users using Artificial Intelligence (AI) on March 14, 2023 set off a flurry of debates regarding the role and impact of AI on human life. Influential lead...
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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