About this Research Topic
The goal of this research topic is to provide a comprehensive collection of the current research in hearing sciences. Digitalization, advanced algorithms, machine learning and artificial intelligence are provoking a rapid transformation in healthcare, among other disciplines. This research topic aims to collect the latest research in these areas to pave the way for the effective implementation of digital technologies and computational methods in order to improve accessibility to ear and hearing healthcare services.
Original research articles, systematic reviews, meta-analyses, randomized controlled trials, pilot studies, field studies, observational studies, case reports, and evidence-based perspective articles are welcome in this Research Topic.
Areas to be covered may include, but are not limited to:
● Novel techniques of hearing assessments and rehabilitation inside and outside the hearing clinic
● Optimization of hearing assessments by means of advanced signal processing and machine learning
● Big data and AI in audiology and hearing healthcare
● Computational approaches to improving hearing devices and auditory implants
● Data-based and model-based investigations into hearing loss
● e-Audiology and e-Research (remote hearing healthcare and virtual audiological care and interventions)
● Epidemiological studies making use of large biobanks and bioresources to uncover associations between hearing loss and other conditions
● Use of natural language processing in qualitative and mixed methods for hearing research
● Genetic profiling and deep phenotyping in hearing sciences
● Digital transformation of hearing healthcare and audiological services including teleaudiology
Keywords: Digital hearing health, Computational audiology, Telehealth, Big Data and AI in hearing care, e-Audiology, Digital transformation, AI chatbots (e.g., ChatGPT)
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.