Artificial Intelligence and Machine Hearing in Hearing Care (Q4 2019)-Artificial Intelligence and Machine Hearing in Hearing Care (Q4 2019)

Artificial Intelligence and Machine Hearing in Hearing Care (Q4 2019) - Article

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Artificial Intelligence (AI) refers to the ability of machines to perform tasks traditionally done by humans. This includes tasks such as facial recognition and self-driving cars. AI systems require significant training to function properly. The term AI has been used since 1955, but it is only now that we are seeing its full potential due to the explosion of computing power and scientific interest in AI.<br /><br />In the field of hearing care, AI has been used in automated hearing aids to adjust parameters based on specific environments. However, there are limitations to this automation, as it does not consider an individual's listening intention or preferences.<br /><br />Machine Learning (ML) is a form of AI that allows systems to experiment and learn on their own to generate solutions to problems. ML can be used to personalize sound settings in hearing aids based on user preferences. For example, a user can compare different sound settings using a smartphone app and the ML algorithm will learn their preferences over time.<br /><br />By incorporating AI and ML into hearing care, professionals can provide a more personalized and efficient experience for their patients. AI and ML can help improve the fine-tuning process, increase patient satisfaction, and allow for instant customization of listening settings. Additionally, as AI and ML continue to advance, integrating these technologies into hearing care ensures that patients have access to the latest advancements in hearing aids.<br /><br />Understanding the specifics of AI and ML algorithms in hearing aids is crucial for professionals to effectively utilize these tools. Counseling and ongoing relationships between providers and patients are still important, as AI and ML do not replace human interaction. By harnessing the power of AI and ML, professionals can provide cutting-edge care and enhance the overall patient experience in hearing care.

Keywords

Artificial Intelligence

facial recognition

self-driving cars

Machine Learning

hearing care

automated hearing aids

personalize sound settings

patient satisfaction