To compare the quality of tinnitus-related information generated by multiple generative artificial intelligence (GenAI) systems and web search using expert evaluation.
AI-generated tinnitus information quality was formally assessed against web search; audiologists should remain cautious about recommending AI chatbots as patient education tools until expert-rated accuracy and completeness are clearly established for their clinical area.
As patients increasingly turn to AI chatbots for health information, understanding the reliability of AI-generated tinnitus content is critical for clinician guidance and patient safety.
- 01Expert panels rated tinnitus information quality from multiple generative AI systems and web searches.
- 02Study provides a direct comparative benchmark between AI chatbots and traditional search engines.
- 03Published in Otology & Neurotology, indicating peer-reviewed scrutiny of AI health content.
- 04Findings are relevant to patient education and the clinical use of AI tools in audiology.
- 05Results may highlight gaps or strengths in AI-generated tinnitus content.
Generative AI systems produce tinnitus information of measurably different quality compared to traditional web search.
studyunclear- PMID
- 42473942
- DOI
- 10.1097/MAO.0000000000005015.
- Journal
- Otology & Neurotology
- Publication type
- research_article
- Evidence level
- 4
- Population
- Tinnitus-related health information outputs from generative AI systems and web search engines, rated by experts
- Intervention
- Generative AI-produced tinnitus information
- Comparator
- Traditional web search results for tinnitus information
Primary outcomes
Expert-rated quality of tinnitus information from AI systems; Expert-rated quality of tinnitus information from web search; Comparative quality scores between AI and web search