Medical technology is witnessing rapid advancement in the field of treating neurodegenerative diseases, which represent some of the most complex healthcare challenges of the modern era due to their progressive nature and profound impact on patients’ cognitive and motor abilities, as seen in Alzheimer's disease. Artificial intelligence has become a fundamental pillar in understanding these conditions and analyzing their complex datasets, significantly contributing to early diagnosis and enhancing the effectiveness of therapeutic strategies. Artificial intelligence plays a central role in analyzing the vast amounts of data associated with neurodegenerative diseases, including brain MRI scans, cognitive assessments, genetic analyses, and long-term clinical records. Through machine learning and deep learning algorithms, subtle patterns and minor structural brain changes can be detected—changes that may not be visible through conventional methods. This advanced analytical capability enables the prediction of disease progression stages, identification of patients at higher risk of rapid deterioration, and more precise differentiation between various types of dementia. Furthermore, intelligent models assist in evaluating treatment responses by continuously monitoring clinical changes and correlating them with biological indicators, thereby supporting evidence-based medical decision-making. In addition to artificial intelligence, medical robotics has emerged as an important supportive tool in treating patients with neurological disorders. Robotic systems are increasingly used in neurorehabilitation programs to help patients regain motor functions lost due to strokes or degenerative movement disorders. These robotic platforms enable patients to perform precise, repetitive therapeutic exercises tailored to individual needs, while continuously monitoring motor performance and adjusting difficulty levels according to progress. This process stimulates neuroplasticity, the brain’s ability to reorganize and form new neural pathways. Robotic systems are also employed to support patients in daily life through smart prosthetics and assistive mobility devices, enhancing independence and improving overall quality of life. These technologies often integrate with artificial intelligence systems to analyze usage data and continuously optimize therapeutic performance. The integration of artificial intelligence and robotics in addressing neurodegenerative diseases represents a transformative shift in healthcare. The objective extends beyond symptom management to slowing disease progression and improving patients’ functional capacities. As innovation continues in this field, these technologies are expected to become essential components of treatment and rehabilitation strategies, offering renewed hope for improving the lives of millions affected by complex neurological disorders. Al-Mustaqbal University The First University in Iraq.