Role of Artificial Intelligence in Infectious Diseases and Antimicrobial Resistance: A Comprehensive Review on Diagnostic, Treatment, and Prevention Aspects

Authors

Naveed Ahmed, From the Department of Assistance Medical Sciences, Applied College, University of Tabuk, Tabuk, Kingdom of Saudi Arabia (Ahmed)Follow
Mansoor Alghamdi, From the Department of Computer Science, Applied College, University of Tabuk, Tabuk, Kingdom of Saudi Arabia (Alghamdi)Follow

Abstract

Artificial intelligence (AI) plays a significant role in managing infectious diseases by enhancing diagnosis, treatment, and preventive measures. AI-assisted tools have predictive analysis ability for incoming outbreaks, including the emergence of antimicrobial resistance (AMR). AI-assisted tools facilitate the treatment methods by tailoring personalized medicine according to the specific disease history of the patient, immune response, and genetics. Advanced vaccine development by various AI-assisted in silico tools is becoming easy, leading to faster vaccine discovery and more efficient vaccine design with a more immunogenic response. Despite huge benefits, a few limitations are also encountered, including biases in algorithms, data privacy, and ethical considerations. This review provides a thorough review of the existing uses of AI and Machine Learning in diagnosing, treating, and preventing infectious diseases, with particular focus on approaches for detecting, monitoring, and containing AMR.

Article Type

Review

First Page

219

Last Page

236

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Ahmed, Naveed and Alghamdi, Mansoor (2026) "Role of Artificial Intelligence in Infectious Diseases and Antimicrobial Resistance: A Comprehensive Review on Diagnostic, Treatment, and Prevention Aspects," Saudi Medical Journal: Vol. 47: Iss. 2, Article 4.