Antibiotic resistance is considered one of the most serious health threats facing humanity in the 21st century. The excessive and improper use of antibiotics has led to the emergence of resistant bacterial strains, making it increasingly difficult to treat infections using traditional methods. In response to this growing threat, artificial intelligence (AI) has emerged as an innovative tool to help mitigate the problem.<br /><br />AI systems analyze vast amounts of biological and medical data to identify patterns of bacterial resistance and understand the mechanisms microbes use to evade the effects of antibiotics. By processing electronic health records and lab reports, AI can predict which infections are more likely to be resistant, thus guiding physicians toward more precise and effective treatment choices.<br /><br />Moreover, AI is playing a key role in accelerating the discovery of new drugs by designing chemical compounds that target the weaknesses of resistant bacteria, offering novel therapeutic solutions beyond the capabilities of conventional antibiotics.<br /><br />The true value of these technologies lies in reducing unnecessary antibiotic use, thereby slowing the spread of resistance over time. However, further clinical trials and applied research are needed to ensure the safety and efficacy of these intelligent solutions before they can be widely implemented.<br /><br />Integrating AI into public health strategies represents a pivotal step toward strengthening global health security and curbing the worsening crisis of antibiotic resistance.<br />Al-Mustaqbal University The First University in Iraq.<br /><br /><br /><br /><br /><br /><br /><br /><br /><br />