Language
English
Publication Date
1-20-2026
Journal
Current Opinion in Pediatrics
DOI
10.1097/MOP.0000000000001546
PMID
41568433
Abstract
Purpose of review: Recent advances in artificial intelligence (AI) coincide with decreases in confidence in vaccines. This review examines studies that analyze and mitigate vaccine skepticism by implementing artificial intelligence strategies in various ways.
Recent findings: Studies have explored public attitudes towards vaccines using AI to analyze language in social media postings and interactions, scrutinize AI responses to vaccine-related queries, and attempt to use AI to directly influence vaccine hesitancy. Findings show that AI can be effective in addressing vaccine hesitancy in various ways, including, but not limited to, directly interacting with vaccine-hesitant groups, identifying reasons for vaccine hesitancy, and predicting vaccine hesitancy among specific populations.
Summary: AI will undoubtedly continue to evolve and improve over the coming years. Continued advances and new applications can help mitigate unwarranted vaccine hesitancy in a variety of ways, such as educating people with messaging tailored to end users or using AI to identify the specific concerns of vaccine-hesitant individuals and groups. It will require an integrative approach to a complex issue - vaccine hesitancy is not a monolith; there is a range of degrees of vaccine hesitancy, and various factors go into a person's vaccine knowledge and beliefs.
Keywords
ChatGPT, artificial intelligence, artificial intelligence chatbots, misinformation, natural language processing, social media mining, survey analysis, vaccine confidence, vaccine uptake
Published Open-Access
yes
Recommended Citation
, "The Use of Artificial Intelligence in Decreasing Vaccine Skepticism and Hesitancy" (2026). Faculty, Staff and Students Publications. 6500.
https://digitalcommons.library.tmc.edu/baylor_docs/6500