The importance of tele-audiology has been heightened by the current COVID-19 pandemic.
The present article reviews the current state of tele-audiology practice while presenting its …

The integration of artificial intelligence (AI) into medical disciplines is rapidly transforming
healthcare delivery, with audiology being no exception. By synthesizing the existing …

Despite the significance of predicting the prognosis of idiopathic sudden sensorineural
hearing loss (ISSNHL), no predictive models have been established. This study used …

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 …

Background Hearing loss affects 1 in 5 people worldwide and is estimated to affect 1 in 4 by
2050. Treatment relies on the accurate diagnosis of hearing loss; however, this first step is …

This paper explores the transformative impact of artificial intelligence (AI), particularly
machine learning (ML), on diagnosing and treating hearing loss, which affects over 5% of …

Audiograms are used to show the hearing capability of a person at different frequencies. The
filter bank in a hearing aid is designed to match the shape of patients' audiograms …

Multiple private and public insurers compensate workers whose hearing loss can be directly
attributed to excessive exposure to noise in the workplace. The claim assessment process is …

An audiogram records the hearing status, including each hearing threshold at multiple
frequencies. While deep learning is gradually maturing in the clinical research approach …

Featured Application Application: This work will contribute to easing and reducing the
complexity of the filter bank structure of hearing aids. In addition, it will facilitate the process …