The use of artificial intelligence in decreasing vaccine skepticism and hesitancy

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Authors: Nathaniel Wolf, Nhan P. T. Nguyen, Rojelio Mejía
Cited by: 2
References: 34

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.

Fields of Study & Subjects

Vaccine Coverage and Hesitancy Misinformation and Its Impacts Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
Current Opinion in Pediatrics
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
38
Issue
2
Pages
136–141
Publication date
19 January 2026
Language
EN