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US Occupational Medicine Clinicians’ Perceptions and Practices With Respect to Artificial Intelligence Large Language Models
0
Zitationen
2
Autoren
2025
Jahr
Abstract
OBJECTIVE: The aim of the study was to explore US occupational and environmental medicine (OEM) clinicians' perceptions, knowledge, practices, and interest surrounding large language models (LLMs). METHODS: An online survey and semistructured interviews were conducted between April 2024 and July 2025 with a sample of US OEM clinicians. Quantitative and qualitative data analyses were performed. RESULTS: There were 60 survey respondents and 10 interviewees. Most respondents reported that they do not currently use LLMs in their clinical practice (70.0%, n = 42). Composite trust scores significantly predicted intention to use LLMs ( B = 0.57, P = 0.019, 95% CI [0.10, 1.03]). The interview data converged with and complemented the survey findings. CONCLUSIONS: Although most OEM clinicians in this sample reported not using LLMs in clinical practice, the majority expressed an interest, with trust being a significant predictor of intention to use LLMs.
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