Generative Artificial Intelligence Utilization and Perspectives Among Reproductive‐Age Women With Systemic Autoimmune and Rheumatic Diseases
Authors' conclusion
Participants expressed interest in using generative AI for health information-seeking but preferred tools endorsed by rheumatologists.
Study context
- Population
- Women ages 18 to 48 years with diverse systemic autoimmune and rheumatic diseases (SARDs) enrolled in a research registry190 completed
- Participants
- 270 participants
- Outcome
- Use of and receptivity to generative AI for health information-seeking
Methodological detailssurvey, research registry, exploratory multivariable ordinal logistic regression, thematic analysis
- Survey
- Research registry
- Exploratory multivariable ordinal logistic regression
- Thematic analysis
Main finding
As reported in the abstract
- Familiar with generative artificial intelligence (AI)
- 77.4%
- Perceived it might benefit health care
- nearly 90%
- Had used it to answer health questions
- 29%
- Willing to use a physician-recommended AI tool
- 88%
- Interest in generative AI for information about medication safety during pregnancy or lactation
- Approximately one-third
Observational data: associations, not effects.
Further findings
Interest in a hypothetical generative AI tool for SARDs management: association with desire for personalized recommendations
- Desire for personalized recommendations, OR
- 2.89 (95% CI 1.25-6.67)
Interest in generative AI for medication safety in pregnancy or lactation: associated factors
- Age (younger), OR
- 0.93 (95% CI 0.88-0.99)
- Desire for timely access, OR
- 4.71 (95% CI 2.07-10.71)
- Increased information access, OR
- 2.56 (95% CI 1.20-5.43)
Original publication
Generative Artificial Intelligence Utilization and Perspectives Among Reproductive‐Age Women With Systemic Autoimmune and Rheumatic Diseases. Arthritis Care Res (Hoboken). Published 25 September 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →