A cross sectional investigation of ChatGPT-like large language models application among medical students in China.

ABSTRACT:

Objective

To investigate the level of understanding and trust of medical students towards ChatGPT-like large language models, as well as their utilization and attitudes towards these models.

Methods

Data collection was concentrated from December 2023 to mid-January 2024, utilizing a self-designed questionnaire to assess the use of large language models among undergraduate medical students at Anhui Medical University. The normality of the data was confirmed with Shapiro-Wilk tests. We used Chi-square tests for comparisons of categorical variables, Mann-Whitney U tests for comparisons of ordinal variables and non-normal continuous variables between two groups, Kruskall-Wallis H tests for comparisons of ordinal variables between multiple groups, and Bonferroni tests for post ho

SUBMITTER: Pan G 

PROVIDER: S-EPMC11342543 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature