Adaptive intelligent systems for customizing treatment plans represent one of the most significant innovations in modern healthcare, marking a substantial step toward providing personalized and effective care for each patient. These systems rely on artificial intelligence and machine learning techniques to analyze patient data comprehensively, including medical history, laboratory results, lifestyle patterns, and previous treatment responses. Through this in-depth analysis, the systems can suggest tailored treatment plans that adapt to changes in the patient's condition over time, enhancing the chances of recovery while reducing complications. Moreover, these systems provide considerable flexibility for physicians, allowing them to monitor treatment progress dynamically and adjust plans as needed. Adaptive intelligent systems also contribute to better management of medical resources by minimizing ineffective treatments and directing efforts toward the most successful options for each case. Integrating these systems into clinical practice supports data-driven decision-making and reduces the potential for human error. Recent research shows that applying these systems in fields such as oncology, cardiology, and neurology has yielded promising results, including shortened treatment duration and improved patient quality of life. The development of these systems continues, heavily relying on enhancing AI algorithms and expanding healthcare databases to encompass the most accurate and comprehensive information possible. In the future, adaptive intelligent systems are expected to become an integral part of healthcare, delivering more effective and safer treatments while focusing on the individual needs of each patient. Al-Mustaqbal University is the first one university in Iraq.