{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T09:49:13Z","timestamp":1792144153712,"version":"4.4.0"},"reference-count":0,"publisher":"Armed Forces Medical Services","issue":"2","license":[{"start":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T00:00:00Z","timestamp":1770422400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Saudi Medical Journal"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.15537\/1658-3175.1003","type":"journal-article","created":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T22:16:25Z","timestamp":1773958585000},"page":"219-236","source":"Crossref","is-referenced-by-count":2,"title":["Role of Artificial Intelligence in Infectious Diseases and Antimicrobial Resistance: A Comprehensive Review on Diagnostic, Treatment, and Prevention Aspects"],"prefix":"10.15537","volume":"47","author":[{"given":"Naveed","family":"Ahmed","sequence":"first","affiliation":[{"name":"From the Department of Assistance Medical Sciences, Applied College, University of Tabuk, Tabuk, Kingdom of Saudi Arabia (Ahmed)"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mansoor","family":"Alghamdi","sequence":"additional","affiliation":[{"name":"From the Department of Computer Science, Applied College, University of Tabuk, Tabuk, Kingdom of Saudi Arabia (Alghamdi)"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"56029","published-online":{"date-parts":[[2026,2,7]]},"container-title":["Saudi Medical Journal"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/smj.researchcommons.org\/cgi\/viewcontent.cgi?article=1003&amp;context=journal","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T09:28:46Z","timestamp":1792142926000},"score":1,"resource":{"primary":{"URL":"https:\/\/smj.researchcommons.org\/journal\/vol47\/iss2\/4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,7]]},"references-count":0,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,2,7]]}},"URL":"https:\/\/doi.org\/10.15537\/1658-3175.1003","relation":{},"ISSN":["1658-3175"],"issn-type":[{"value":"1658-3175","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2,7]]}}}