Scientific research has witnessed rapid development due to the significant advancement of artificial intelligence technologies, which have become essential tools for researchers across various disciplines. AI tools have contributed to accelerating research processes, improving accuracy, and opening new horizons for scientific innovation. AI tools are used in multiple stages of scientific research, from data collection and analysis to result interpretation and academic writing. They can process large volumes of data in a short time, helping researchers identify patterns and relationships that are difficult to detect using traditional methods. Machine learning techniques play a major role in analyzing complex data with high accuracy. They are also used to build predictive models that support scientific decision-making, especially in fields such as medicine, engineering, and environmental sciences.