922ROLE OF ARTIFICIAL INTELLIGENCE IN QUICKER DIAGNOSIS OF UTI AND PREVENTING ANTIMICROBIAL RESISTANCEAI has been considered to have massive opportunities for the healthcare sector. Many previous studies have endorsed using artificial intelligence in health facilities because of the postulated advantages. Some of its advantages include improved and quicker diagnostics, minimized waiting time, and fewer medical mistakes related to prescriptions. The following review article looks into whether AI can help achieve a faster diagnosis of urinary tract infections. Urinary tract infections are among the most common bacterial infections, affecting women more often. Although the traditional diagnostic methodology is efficient, it is considerably slower. Various studies reveal that when practicing the conventional procedures for diagnosing UTI, it takes time to do so, and patients are on the brink of losing their lives. Delayed or incorrect diagnosis results in the use of antibiotics that are not necessary or at the wrong concentration, which are among the leading causes of the development of antimicrobial resistance. AI has provided remedies to these challenges by offering the healthcare industry a faster diagnosis and a perfect prescription of antibiotics. To conduct this review, studies published within five years from now, that is, from the year 2019 up to 2024, were used. To retrieve such articles, specific databases (Google Scholar, PubMed, and IEEE) were employed, and they contained articles reviewed and accredited by other researchers. As a result, AI has been shown to greatly improve patient outcomes by speeding up and enhancing the accuracy of UTI diagnosishodppractice@velsuniv.ac.inResearch1612025 Artificial Intelligence, Urinary Tract Infection, Diagnosis, Antimicrobial Resistance, AccuracyDaisy Priya Pugazhenthi,Karthickeyan Krishnan,Shanmugasundaram PalaniPharm D V Year, Department of Pharmacy Practice, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai – 600117, Tamil Nadu, India,Professor and Head, Department of Pharmacy Practice, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai – 600117, Tamil Nadu, India,Professor and Dean, School of Pharmaceutical Sciences, Vels Institute of Science, Technology and Advanced Studies, Pallavaram, Chennai – 600117, Tamil Nadu, India.