{"id":3226,"date":"2023-07-16T13:13:53","date_gmt":"2023-07-16T17:13:53","guid":{"rendered":"https:\/\/www.lescentresmasliah.com\/?p=3226"},"modified":"2023-07-17T22:50:32","modified_gmt":"2023-07-18T02:50:32","slug":"artificial-intelligence-in-audiology","status":"publish","type":"post","link":"https:\/\/www.lescentresmasliah.com\/en\/artificial-intelligence-in-audiology\/","title":{"rendered":"ARTIFICIAL INTELLIGENCE IN AUDIOLOGY: HOW AI IS TRANSFORMING THE HEARING AID EXPERIENCE"},"content":{"rendered":"\n

In a time when artificial intelligence is making its mark on every business, it’s nice to see that it’s making a difference in healthcare, and more specifically in hearing aids. Hearing aid adjustment has always been a highly individualized procedure involving fine-tuning in a controlled, clinical setting. This strategy, however, has drawbacks since it can not fully simulate the auditory obstacles that users face in real-world scenarios such as noisy restaurants or concerts.<\/p>\n\n\n\n

That’s where new hearing aid apps, based on artificial intelligence, come in to change the lives of people affected by hearing loss. These apps bridge the gap between clinical environments and everyday life, enabling precise hearing aid adjustments within the limits of what is recommended and configured by the hearing care professional. This makes hearing aids more personalized and effective than ever. It’s a revolutionary solution that strives to overcome the limitations of traditional adjustment by offering a highly personalized experience that adapts to the user’s lifestyle. This new frontier in hearing aid technology enables hearing care professionals to further examine and optimize the fitting process.<\/p>\n\n\n\n

How new AI-enabled hearing aid applications work<\/h2>\n\n\n\n

The revolution brought about by these applications centers on their ability to integrate artificial intelligence into the hearing aid fitting process in real-world scenarios. Unlike traditional methods, which mainly involve adjustments in quiet clinical environments or with noise simulators, artificial intelligence opens the way for personalized experiences in noisy, dynamic environments – a breakthrough that truly reflects the user’s lifestyle.<\/p>\n\n\n\n

The initial appointment for adjusting the hearing aids forms a good starting point for users. However, many of them require further fine-tuning of the settings to optimize their hearing experience. Before the advent of the AI enabled hearing aid applications, users often communicated with their audioprosthetistes only after encountering a problem.<\/p>\n\n\n\n

In a transformational shift, the AI enabled hearing aid applications allows users to evaluate fine-tuning and report issues as they occur. This immediate feedback is relayed to the HHS, who can review these changes during the user’s next visit. The system leverages deep learning neural networks to identify usage patterns and make fine-tuning suggestions to the user, utilizing a vast, continually updated data network driven by regular use of AI enabled hearing aid applications.<\/p>\n\n\n\n

This approach provides several advantages to both the user and the HHS, enhancing the partnership between them. Instead of following a one-size-fits-all adjustment strategy, the tool facilitates highly customized solutions, considering the unique hearing patterns and daily situations that users face. Thus, the fine-tuning of hearing aids is no longer a periodic clinical exercise but an ongoing, personalized process fueled by real-time data and artificial intelligence.<\/p>\n\n\n\n

AI enabled hearing aid applications \u2013 an AI chat approach<\/h2>\n\n\n\n
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The essence of the latest generation of applications lies in their simplicity and immediacy. When a user encounters a problem, they can activate their smartphone app. Instantly, the artificial intelligence available in the app chat suggests a solution – for example, changing a hearing aid setting – which is then programmed into the hearing aids. The user can choose to retain or reject the modification, or request further adjustments to improve their hearing experience.<\/p>\n\n\n\n

The AI enabled hearing aid applications gathers information from three primary sources to formulate these suggestions:<\/p>\n\n\n\n