From data to decisions: AI-supported self-monitoring in hearing health
ChatGPT can support hearing self-monitoring by providing expert-level recommendations based on mobile app data.
Can AI Chatbots Contribute to the Spread of Misinformation in Audiology?
This study evaluated six AI chatbots on their accuracy and consistency in addressing unproven audiological methods, finding generally high performance.
Validity, Reliability, and Readability of Artificial Intelligence Chatbots as Public Sources of Information on Hearing Loss: A Comparative Evaluation of ChatGPT, Bing, Gemini, and Perplexity
This study evaluates the accuracy, reliability, and readability of AI chatbot responses across five key domains of hearing health, highlighting their potential and limitations in patient education.
Wikipedia’s influence on the readability of AI-generated hearing health responses in English and Brazilian Portuguese
Incorporating Wikipedia-derived excerpts influenced the readability of AI-generated hearing health responses, with more pronounced effects in Portuguese, where texts remained consistently more complex across metrics than English content.
How hard is it to read a chatbot response about hearing health
This study examines whether incorporating Wikipedia-derived audiology excerpts alters the textual complexity of AI-generated responses in English and Brazilian Portuguese, evaluated with standard readability indices.
Screenshot
Leveraging AI Technology for Enhanced Communication Skill Development in Audiology Education
Use of a natural language processing chatbot to develop masters of audiology interviewing, communication, professional and interpersonal skills
Accuracy and repeatability of Chatbot Responses in Audiology
This study aims to assess three prominent chatbots - OpenAI ChatGPT, Microsoft Copilot, and Google Gemini - in their ability to respond to audiological questions.