The healthcare sector is witnessing a rapid transformation toward the use of predictive algorithms as one of the most important tools of precision medicine. Artificial intelligence has become capable of analyzing massive medical datasets and extracting patterns that help physicians detect diseases before clear symptoms appear. These algorithms rely on machine learning and deep learning techniques, enabling AI systems to identify hidden relationships within patient data such as medical imaging, health records, vital signs, and laboratory tests. The accuracy provided by these tools is a critical factor in improving clinical outcomes, as they enable early diagnosis of complex diseases such as cancer, cardiovascular diseases, and neurological disorders. They also help predict the future risk of chronic illnesses, opening the door to proactive and personalized treatment plans. In addition, predictive algorithms are used to enhance hospital efficiency by forecasting bed demand, patient admission rates, and estimating potential risks during surgical procedures. Through integration with smart medical systems, they contribute to a shift toward more precise, faster, and safer healthcare. Thus, the use of predictive algorithms has become an essential part of the future of healthcare, combining scientific accuracy with advanced technology to deliver data-driven, preventive, and intelligent medical care. Al-Mustaqbal University is the first one university in Iraq.