Conference · 2025

A Comprehensive Review of Predicting Vaccine Side Effects with AI

Chijiuka Fortune Akuma, Chimeremeze Victor Amaechi, Pradeep Hewage, Anchal Garg, Chijiuka Fortune Akuma, Duru Akuma

Cited by 0 2025 12th International Conference on Reliability, Infocom … DOI

Abstract

Vaccination is a key to public health and safety, but adverse vaccine side effects threaten its safety and monitoring. Traditional pharmacovigilance systems are characterised by flaws such as underreporting, delays, and data fragmentation. This paper presents a holistic review of the role of artificial intelligence (AI) in vaccine side effect detection and prediction. Methodologies like machine learning, deep learning, and natural language processing are examined, with a close look at their application to real-world data sources like electronic health records, social media, and vaccine registries. Evidence from the COVID-19, HPV, and influenza vaccines shows that AIs can detect vaccine side effects, with each of the AI models achieving a high accuracy of (AUC 0.91, F1-score 0.903) in vaccine side effect detection. However, despite the promising benefits, some challenges such as data quality, model generalisation, and ethical challenges still exist. This paper also suggests that future research directions should include vaccinology, federated learning, and explainable AI for real-time and personalised risk assessment. Conclusively, this paper brings to the fore the numerous benefits that AI offers in pharmacovigilance, showcasing its transformative potential for proactive vaccine safety surveillance.

Publication details

Venue
2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
Type
Conference · 2025
DOI
10.1109/icrito66076.2025.11241905
Citations
0 · via Crossref, 17 September 2026

Cite this publication

Copy a ready-formatted citation in your preferred style.

APA

Akuma, C. F., Amaechi, C. V., Hewage, P., Garg, A., Akuma, C. F., & Akuma, D. (2025). A Comprehensive Review of Predicting Vaccine Side Effects with AI. 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). https://doi.org/10.1109/icrito66076.2025.11241905

Harvard

Akuma, C.F., Amaechi, C.V., Hewage, P., Garg, A., Akuma, C.F. and Akuma, D. (2025) 'A Comprehensive Review of Predicting Vaccine Side Effects with AI', 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). doi: 10.1109/icrito66076.2025.11241905.

IEEE

C. F. Akuma, C. V. Amaechi, P. Hewage, A. Garg, C. F. Akuma, and D. Akuma, "A Comprehensive Review of Predicting Vaccine Side Effects with AI," 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2025. doi: 10.1109/icrito66076.2025.11241905.

Vancouver

Akuma CF, Amaechi CV, Hewage P, Garg A, Akuma CF, Akuma D. A Comprehensive Review of Predicting Vaccine Side Effects with AI. 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO). 2025. doi: 10.1109/icrito66076.2025.11241905.

MLA

Akuma, Chijiuka Fortune, et al.. "A Comprehensive Review of Predicting Vaccine Side Effects with AI." 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2025. https://doi.org/10.1109/icrito66076.2025.11241905.

Chicago

Akuma, C. F., Amaechi, C. V., Hewage, P., Garg, A., Akuma, C. F., Akuma, D.. "A Comprehensive Review of Predicting Vaccine Side Effects with AI." 2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2025). https://doi.org/10.1109/icrito66076.2025.11241905.

BibTeX

@inproceedings{akuma2025, title={A Comprehensive Review of Predicting Vaccine Side Effects with AI}, author={Akuma, Chijiuka Fortune and Amaechi, Chimeremeze Victor and Hewage, Pradeep and Garg, Anchal and Akuma, Chijiuka Fortune and Akuma, Duru}, booktitle={2025 12th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)}, year={2025}, doi={10.1109/icrito66076.2025.11241905}, }

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