ArticleBMC medical education2026
Perspectives of audiologists in China on artificial intelligence in clinical practice and professional identity: a qualitative study.
Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Audiologist-Guided Multimodal AI for Pure-Tone Audiometry and Tympanometry Interpretation and Reporting.Journal of medical systems · 2026Article
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundArtificial intelligence (AI) is rapidly developing in healthcare. However, there is limited research on how audiologists perceive these technologies, particularly in non-Western settings like China, where the healthcare system faces high patient volumes and unique professional challenges. This study aims to fill this gap by exploring the perspectives of Chinese audiologists regarding AI in clinical practice.
methodsThis qualitative study involved semi-structured interviews with 29 audiologists working in hospitals across China. The researchers used reflexive thematic analysis to examine the participants’ attitudes, concerns, and expectations concerning AI integration.
resultsThe analysis revealed four key themes. First, participants viewed AI primarily as an “auxiliary tool” that enhances efficiency by automating routine tasks, though they noted its current technical limitations. Second, they emphasized that “human elements,” such as empathy and complex communication, remain irreplaceable and cannot be replicated by machines. Third, AI showed a dual impact on patient relationships: it empowers patients with knowledge but also creates risks related to self-diagnosis and trust. Fourth, participants expressed a mix of anxiety about “deskilling” and hope that AI offers an opportunity to transform their role from technical operators to expert health consultants.
conclusionChinese audiologists hold a “cautiously optimistic” attitude toward AI. They value its ability to reduce workload but maintain that human care is essential. The findings suggest that AI will likely change the profession by handling technical duties, allowing clinicians to focus more on counseling. To manage this transition successfully, the field requires improved AI training and clear ethical guidelines.
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