Razi Vaccine & Serum Research Institute Co-Publisher: Negah Scientific Publisher Archives of Razi Institute 0365-3439 80 3 2025 06 01 Artificial intelligence in Combating Antimicrobial Resistance 605 613 132282 10.32592/ARI.2025.80.3.605 EN A Natto Hatim Associate Professor, Faculty of Public Health, Umm Al-Qura University, Makkah, Saudi Arabia Razzak Mahmood Ammar Abdul Professor, Department of Pharmaceutical Chemistry, College of Pharmacy, University of Baghdad, Iraq T Sriram Assistant Professor, Department of Life Sciences, Kristu Jayanti College, Bangalore, India Vasanthi Rajkumar Krishnan Senior Lecturer, Faculty of Health and Life Sciences, INTI International University, Nilai, Negeri Sembilan, Malaysia. Singh Desh Nidhi Associate Professor Department of Microbiology Autonomous State Medical College, Lalitpur, U. P., India Journal Article 2024 07 04 Antibiotic resistance (AR) has become a significant worldwide public health concern in the twenty-first century. Antimicrobial resistance (AMR) occurs when microorganisms, such as bacteria, fungi, parasites, and viruses, acquire genetic changes that make them resistant to antimicrobial drugs, including antibiotics. AMR, often known as the "Silent Pandemic," requires prompt and persistent intervention instead of postponement. Failure in preventative measures will result in AMR being the primary cause of mortality worldwide. In the fight against multidrug-resistant bacteria to halt antibiotic resistance, conventional techniques for developing drugs are expensive and take a long time, however AI systems can rapidly scan through extensive chemical libraries and forecast possible antibacterial substances. Considering the sluggish progress of ongoing antibiotic research, it is essential to accelerate the advancement of novel antibiotics and supplementary treatments. The acceleration is essential for effectively tackling the increasing health risk caused by antibiotic-resistant bacteria, so guaranteeing that we maintain an advantage in combating these developing threats. The use of AI in medical research has significant promise, particularly in addressing multidrug-resistant (MDR) infections to battle AMR. This study focuses on the effective applications of AI in addressing AMR and its potential to benefit humanity. It covers the fundamental concepts of AI, the resources now available for AI, its uses and scope, as well as its benefits and limits.AI algorithms also consistently observe antibiotic usage, occurrences of diseases, and trends of resistance. This review examines the AI to identify AMR markers, diagnosis in AMR, small molecule antibiotic development and also emphasizes emerging research domains, such as AMR detection and novel medication development, that contribute to the management of AMR. https://archrazi.areeo.ac.ir/article_132282_e936fab9f8d2159f07e5c38dcc5791b8.pdf