Enhancing perinatal health patient information through ChatGPT - An accuracy study.

ABSTRACT:

Objectives

To evaluate ChatGPT's accuracy as information source for women and maternity-care workers on "nutrition" and "red flags" in pregnancy.

Methods

Accuracy of ChatGPT-generated recommendations was assessed by a 5-point Likert scale by eight raters for ten indicators per topic in four languages (French, English, German and Dutch). Accuracy and interrater agreement were calculated per topic and language.

Results

For both topics, median accuracy scores of ChatGPT-generated recommendations were excellent (5.0; IQR 4-5) independently of language. Median accuracy scores varied with a maximum of 1 on a 5-point Likert-scare according to question's framing. Overall accuracy scores were 83-89 % for 'nutrition in pregnancy' versus 96-98 % for 'red flags in pregnancy'. Int

SUBMITTER: de Vries PLM 

PROVIDER: S-EPMC11872132 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature