Ontology highlight
ABSTRACT: Objective
The integration of medical large language models (MLLMs) into healthcare has garnered global interest, however, the determinants of their adoption by medical professionals remain underexplored. This study aims to elucidate the factors influencing doctors' intention to utilize MLLMs, encompassing both psychological determinants and demographic attributes.Methods
An extended theoretical model was developed using constructs derived from the Technology Acceptance Model (TAM) and five constructs. A hybrid online and offline survey was conducted from March to December 2023, including 955 Chinese medical practitioners. Structural equation modeling was utilized to test the research hypotheses.Results
The measurement model exhibited satisfactory reliability and val
SUBMITTER: Qu S
PROVIDER: S-EPMC11544661 | biostudies-literature | 2024 Jan-Dec
REPOSITORIES: biostudies-literature