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.
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Naveed Ahmed
Mansoor Alghamdi
Saudi Medical Journal
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Ahmed et al. (Sat,) studied this question.
www.synapsesocial.com/papers/69be36416e48c4981c675167 — DOI: https://doi.org/10.15537/1658-3175.1003