Advanced algorithms, which rely on artificial intelligence and machine learning, are one of the most prominent innovations in the field of radiology image analysis, enhancing the accuracy of medical diagnoses. In the past, doctors primarily relied on traditional imaging techniques, such as X-rays or MRI, to detect diseases. However, with the emergence of advanced algorithms, analyzing these images has become more precise and faster.<br />Advanced algorithms analyze medical images more deeply than traditional systems, as they are trained to recognize patterns and subtle changes that humans might miss. These algorithms can detect diseases like cancer or heart conditions at early stages, improving the chances of treatment and recovery.<br />One of the biggest advantages of these algorithms is their ability to process images quickly, reducing the time needed for doctors to reach an accurate diagnosis. Additionally, advanced algorithms allow doctors to automatically identify suspicious or abnormal areas in the images, improving diagnostic outcomes.<br />Despite these benefits, advanced algorithms require continuous training and diverse medical data to ensure their accuracy. As these technologies evolve, they are expected to become an essential part of medical diagnostic tools in the future.<br /><br /><br />Al-Mustaqbal University is the first University in Iraq.<br />