The healthcare sector is undergoing a rapid transformation toward the use of predictive algorithms as one of the most important tools of precision medicine. Artificial intelligence is now capable of analyzing massive amounts of medical data and identifying patterns that help physicians detect diseases before clear symptoms appear. These algorithms rely on machine learning and deep learning techniques, enabling AI systems to recognize hidden relationships within patient data, including medical images, health records, vital signs, and laboratory test results. The accuracy provided by these tools is a crucial factor in improving clinical outcomes, as they enable the early diagnosis of complex diseases such as cancer, cardiovascular diseases, and neurological disorders. They also help assess the future risk of developing chronic illnesses, paving the way for proactive and personalized treatment plans. In addition, predictive algorithms are used to enhance hospital efficiency by forecasting bed occupancy needs, patient admission rates, and potential risks during surgical procedures. Through integration with intelligent healthcare systems, they contribute to the transition toward more accurate, faster, and safer healthcare services. Therefore, predictive algorithms have become an essential component of the future of healthcare, combining scientific precision with advanced technology to deliver data-driven medicine focused on prevention and intelligent decision-making. Al-Mustaqbal University is the first one university in Iraq.