A Review Delving through Current Challenges in AMR and Using Artificial Intelligence in Dealing with AMR

Antimicrobial resistance in pathogenic microorganisms is being accelerated by the overuse of antibiotics, which is a major global public health concern. Severe infections, serious complications, longer hospital stays, and even higher death rates are all brought on by increasing resistance. National economies and health systems are greatly impacted by antimicrobial resistant (AMR), which reduces patient or caregiver productivity by causing extended hospital stays that are expensive. While conventional methods of addressing antimicrobial resistance (AMR) are costly and time-consuming, artificial intelligence (AI) is currently being developed to quickly search through large chemical libraries and predict potential antibacterial compounds. Using AI, scientists may quickly find possible new medications that might work against germs resistant to antibiotics, which might save a significant amount of time throughout the development process. AI algorithms that analyse enormous volumes of data can also assist in forecasting future patterns in antibiotic resistance, enabling preventative actions. In the continuous fight against antibiotic resistance, the use of AI in medical research appears to have a lot of promise. In addition to discussing AMR, this review explains how AI is being used in AMR markers to help manage AMR.