Artificial intelligence plays a significant role in improving the accuracy of rapid laboratory tests, which have become an essential part of providing real-time healthcare. AI relies on big data processing and advanced algorithms to analyze results quickly and accurately, helping doctors make treatment decisions faster.<br />Rapid laboratory tests are increasingly used to detect diseases and infections early, especially in emergency situations such as viral or bacterial infections. By applying AI to these tests, the likelihood of human errors is reduced, and the accuracy of the results is improved, contributing to better patient care.<br />For example, in cases like bacterial or viral infection detection, AI analyzes the data from lab tests in real-time, allowing doctors to take necessary actions before the disease spreads. AI technologies can also recognize subtle patterns in laboratory data that doctors may overlook.<br />By leveraging these technologies, laboratory tests become more reliable and faster, contributing to improved health outcomes and reducing the burden on healthcare systems.<br /><br />Al-Mustaqbal University is the first University in Iraq.<br />